diff options
Diffstat (limited to 'configs')
| -rw-r--r-- | configs/tested-cfgs/SM2_GTX480/gpgpusim.config | 12 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt (renamed from configs/tested-cfgs/SM7_TITANV/config_volta_islip.icnt) | 9 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config | 188 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM6_TITANX/gpgpusim.config | 137 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt | 73 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM75_RTX2060/gpgpusim.config | 192 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM7_QV100/gpgpusim.config | 116 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM7_TITANV/gpgpusim.config | 100 |
8 files changed, 643 insertions, 184 deletions
diff --git a/configs/tested-cfgs/SM2_GTX480/gpgpusim.config b/configs/tested-cfgs/SM2_GTX480/gpgpusim.config index 6f088ea..609a9ef 100644 --- a/configs/tested-cfgs/SM2_GTX480/gpgpusim.config +++ b/configs/tested-cfgs/SM2_GTX480/gpgpusim.config @@ -63,10 +63,10 @@ -gpgpu_shmem_size 49152 -gpgpu_shmem_sizeDefault 49152 -icnt_flit_size 40 --gmem_skip_L1D 0 +-gpgpu_gmem_skip_L1D 0 -gpgpu_n_cluster_ejection_buffer_size 32 --l1_latency 35 --smem_latency 26 +-gpgpu_l1_latency 35 +-gpgpu_smem_latency 26 -gpgpu_flush_l1_cache 1 # The alternative configuration for fermi in case cudaFuncCachePreferL1 is selected @@ -77,8 +77,8 @@ -gpgpu_cache:dl2 S:64:128:8,L:B:m:L:L,A:256:4,4:0,32 -gpgpu_cache:dl2_texture_only 0 -gpgpu_dram_partition_queues 64:64:64:64 --perf_sim_memcpy 1 --memory_partition_indexing 0 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 0 -gpgpu_cache:il1 N:4:128:4,L:R:f:N:L,S:2:32,4 -gpgpu_tex_cache:l1 N:4:128:24,L:R:m:N:L,T:128:4,128:2 @@ -104,7 +104,7 @@ -inter_config_file config_fermi_islip.icnt # memory partition latency config --rop_latency 120 +-gpgpu_l2_rop_latency 120 -dram_latency 100 # dram model config diff --git a/configs/tested-cfgs/SM7_TITANV/config_volta_islip.icnt b/configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt index 615d0a9..2fe3b53 100644 --- a/configs/tested-cfgs/SM7_TITANV/config_volta_islip.icnt +++ b/configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt @@ -7,21 +7,20 @@ network_count = 2; // Topology topology = fly; -k = 88; +k = 38; n = 1; // Routing routing_function = dest_tag; - // Flow control num_vcs = 1; -vc_buf_size = 256; +vc_buf_size = 64; input_buffer_size = 256; -ejection_buffer_size = 256; -boundary_buffer_size = 256; +ejection_buffer_size = 64; +boundary_buffer_size = 64; wait_for_tail_credit = 0; diff --git a/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config new file mode 100644 index 0000000..b7c0edc --- /dev/null +++ b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config @@ -0,0 +1,188 @@ +# This config models the KEPLER (TITAN) +# For more info about this card, see Nvidia White paper +# https://wr0.wr.inf.h-brs.de/wr/hardware/nodes3/nvidia/NVIDIA-Kepler-GK110-Architecture-Whitepaper.pdf + +# functional simulator specification +-gpgpu_ptx_instruction_classification 0 +-gpgpu_ptx_sim_mode 0 +-gpgpu_ptx_force_max_capability 35 +-gpgpu_ignore_resources_limitation 1 + +# Device Limits +-gpgpu_stack_size_limit 1024 +-gpgpu_heap_size_limit 8388608 +-gpgpu_runtime_sync_depth_limit 2 +-gpgpu_runtime_pending_launch_count_limit 2048 + +# Compute Capability +-gpgpu_compute_capability_major 3 +-gpgpu_compute_capability_minor 5 + +# PTX execution-driven +-gpgpu_ptx_convert_to_ptxplus 0 +-gpgpu_ptx_save_converted_ptxplus 0 +# SASS trace-driven mode execution +#-trace_driven_mode 1 + +# high level architecture configuration +-gpgpu_n_clusters 14 +-gpgpu_n_cores_per_cluster 1 +-gpgpu_n_mem 12 +-gpgpu_n_sub_partition_per_mchannel 2 + +# Kepler clock domains +#-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock> +# Kepler NVIDIA TITAN clock domains are adopted from +# https://en.wikipedia.org/wiki/GeForce_700_series +-gpgpu_clock_domains 837.0:837.0:837.0:1502.0 + +# shader core pipeline config +-gpgpu_shader_registers 65536 +-gpgpu_occupancy_sm_number 62 + +# This implies a maximum of 64 warps/SM +-gpgpu_shader_core_pipeline 2048:32 +-gpgpu_shader_cta 16 +-gpgpu_simd_model 1 + +# Pipeline widths and number of FUs +# ID_OC_SP,ID_OC_DP,ID_OC_INT,ID_OC_SFU,ID_OC_MEM,OC_EX_SP,OC_EX_DP,OC_EX_INT,OC_EX_SFU,OC_EX_MEM,EX_WB +## Kepler has 6 SP SIMD units, 4 DPs and 2 SFU units per SM. +# There is no INT unit in kepler +-gpgpu_pipeline_widths 6,4,0,2,1,6,4,0,2,1,12 +-gpgpu_num_sp_units 6 +-gpgpu_num_sfu_units 2 +-gpgpu_num_dp_units 4 + +# Instruction latencies and initiation intervals +# "ADD,MAX,MUL,MAD,DIV" +# All Div operations are executed on SFU unit +# Throughput (initiation latency) are adopted from CUDA SDK document V8, section 5.4.1, Table 2 +-ptx_opcode_latency_int 4,13,4,5,145 +-ptx_opcode_initiation_int 1,1,1,1,4 +-ptx_opcode_latency_fp 4,13,4,5,39 +-ptx_opcode_initiation_fp 1,2,1,1,4 +-ptx_opcode_latency_dp 8,19,8,8,330 +-ptx_opcode_initiation_dp 2,8,8,8,130 +-ptx_opcode_initiation_sfu 2 +-ptx_opcode_latency_sfu 200 + +-trace_opcode_latency_initiation_int 4,1 +-trace_opcode_latency_initiation_sp 4,1 +-trace_opcode_latency_initiation_dp 20,2 +-trace_opcode_latency_initiation_sfu 200,2 + +# enable operand collector +-gpgpu_operand_collector_num_units_sp 12 +-gpgpu_operand_collector_num_units_sfu 6 +-gpgpu_operand_collector_num_units_mem 8 +-gpgpu_operand_collector_num_units_dp 6 +-gpgpu_operand_collector_num_in_ports_sp 2 +-gpgpu_operand_collector_num_out_ports_sp 2 +-gpgpu_operand_collector_num_in_ports_sfu 2 +-gpgpu_operand_collector_num_out_ports_sfu 2 +-gpgpu_operand_collector_num_in_ports_mem 1 +-gpgpu_operand_collector_num_out_ports_mem 1 +-gpgpu_operand_collector_num_in_ports_dp 1 +-gpgpu_operand_collector_num_out_ports_dp 1 +-gpgpu_num_reg_banks 16 +-gpgpu_reg_file_port_throughput 2 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +# Use kepler Coalsce arhitetecture +-gpgpu_coalesce_arch 35 + +## In Kepler, a warp scheduler can issue 2 insts per cycle +-gpgpu_max_insn_issue_per_warp 2 +-gpgpu_dual_issue_diff_exec_units 0 + +# Kepler TITAN has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto + +# <nsets>:<bsize>:<assoc>,<rep>:<wr>:<alloc>:<wr_alloc>:<set_index_fn>,<mshr>:<N>:<merge>,<mq>:**<fifo_entry> +# ** Optional parameter - Required when mshr_type==Texture Fifo +# Note: Hashing set index function (H) only applies to a set size of 32 or 64. +# The defulat is to disable the L1 cache, unless cache modifieres are used +-gpgpu_cache:dl1 S:4:128:32,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_cache:dl1PrefL1 S:4:128:96,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_cache:dl1PrefShared S:4:128:32,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_shmem_size 49152 +-gpgpu_shmem_sizeDefault 49152 +-gpgpu_shmem_size_PrefL1 16384 +-gpgpu_shmem_size_PrefShared 49152 +# By default, L1 cache is disabled in Kepler P102 and only enabled for local memory +# requests with .nc modifier or __ldg mehtod will be cached in L1 cache even with gmem_skip_L1D=1 +-gpgpu_gmem_skip_L1D 1 +-icnt_flit_size 40 +-gpgpu_n_cluster_ejection_buffer_size 32 +-gpgpu_l1_latency 82 +-smem_latency 24 +-gpgpu_flush_l1_cache 1 + +# 32 sets, each 128 bytes 16-way for each memory sub partition (128 KB per memory sub partition). This gives 1.5MB L2 cache +-gpgpu_cache:dl2 S:32:128:16,L:B:m:L:L,A:256:64,16:0,32 +-gpgpu_cache:dl2_texture_only 0 +-gpgpu_dram_partition_queues 32:32:32:32 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 0 + +# 4 KB Inst. +-gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4 +-gpgpu_inst_fetch_throughput 8 +# 48 KB Tex +-gpgpu_tex_cache:l1 N:16:128:24,L:R:m:N:L,T:128:4,128:2 +# 12 KB Const +-gpgpu_const_cache:l1 N:128:64:2,L:R:f:N:L,S:2:64,4 + +# interconnection +-network_mode 1 +-inter_config_file config_kepler_islip.icnt + +# memory partition latency config +-gpgpu_l2_rop_latency 120 +-dram_latency 100 + +# dram model config +-gpgpu_dram_scheduler 1 +-gpgpu_frfcfs_dram_sched_queue_size 64 +-gpgpu_dram_return_queue_size 64 + +# for NVIDIA TITAN, bus width is 384bits (12 DRAM chips x 32 bits) +# 12 memory paritions, 4 bytes (1 DRAM chip) per memory partition +# the atom size of GDDR5X (the smallest read request) is 32 bytes +-gpgpu_n_mem_per_ctrlr 1 +-gpgpu_dram_buswidth 4 +-gpgpu_dram_burst_length 8 +-dram_data_command_freq_ratio 4 # GDDR5X is QDR +-gpgpu_mem_address_mask 1 +-gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCC.BCCSSSSS + +# Use the same GDDR5 timing, scaled to 2500MHZ +-gpgpu_dram_timing_opt "nbk=16:CCD=2:RRD=8:RCD=16:RAS=37:RP=16:RC=52: + CL=16:WL=6:CDLR=7:WR=16:nbkgrp=4:CCDL=4:RTPL=3" + +-dram_bnk_indexing_policy 0 +-dram_bnkgrp_indexing_policy 1 + +#-dram_seperate_write_queue_enable 1 +#-dram_write_queue_size 64:56:32 + +# stat collection +-gpgpu_memlatency_stat 14 +-gpgpu_runtime_stat 500 +-enable_ptx_file_line_stats 1 +-visualizer_enabled 0 + +# power model configs, disable it untill we create a real energy model for Kepler +-power_simulation_enabled 0 + +# tracing functionality +#-trace_enabled 1 +#-trace_components WARP_SCHEDULER,SCOREBOARD +#-trace_sampling_core 0 + diff --git a/configs/tested-cfgs/SM6_TITANX/gpgpusim.config b/configs/tested-cfgs/SM6_TITANX/gpgpusim.config index 391269e..a686238 100644 --- a/configs/tested-cfgs/SM6_TITANX/gpgpusim.config +++ b/configs/tested-cfgs/SM6_TITANX/gpgpusim.config @@ -13,6 +13,7 @@ -gpgpu_heap_size_limit 8388608 -gpgpu_runtime_sync_depth_limit 2 -gpgpu_runtime_pending_launch_count_limit 2048 +-gpgpu_kernel_launch_latency 5000 # Compute Capability -gpgpu_compute_capability_major 6 @@ -21,11 +22,12 @@ # SASS execution (only supported with CUDA >= 4.0) -gpgpu_ptx_convert_to_ptxplus 0 -gpgpu_ptx_save_converted_ptxplus 0 +# SASS trace-driven mode execution +#-trace_driven_mode 1 # high level architecture configuration -# P102 has two semi-indp scheds per core, and two cores per cluster -gpgpu_n_clusters 28 --gpgpu_n_cores_per_cluster 2 +-gpgpu_n_cores_per_cluster 1 -gpgpu_n_mem 12 -gpgpu_n_sub_partition_per_mchannel 2 @@ -36,110 +38,112 @@ -gpgpu_clock_domains 1417.0:1417.0:1417.0:2500.0 # shader core pipeline config --gpgpu_shader_registers 32768 +-gpgpu_shader_registers 65536 -gpgpu_occupancy_sm_number 62 # This implies a maximum of 32 warps/SM --gpgpu_shader_core_pipeline 1024:32 --gpgpu_shader_cta 16 +-gpgpu_shader_core_pipeline 2048:32 +-gpgpu_shader_cta 32 -gpgpu_simd_model 1 # Pipeline widths and number of FUs # ID_OC_SP,ID_OC_DP,ID_OC_INT,ID_OC_SFU,ID_OC_MEM,OC_EX_SP,OC_EX_DP,OC_EX_INT,OC_EX_SFU,OC_EX_MEM,EX_WB -## Pascal GP102 has 4 SP SIMD units and 4 SFU units per SM. In this config, we split SM into two shader cores, each has 2 SPs and 2 SFUs -# There is no int unit in Pascal -## we need to scale the number of pipeline registers to be equal to the number of SP units --gpgpu_pipeline_widths 2,1,0,2,1,2,1,0,2,1,5 --gpgpu_num_sp_units 2 --gpgpu_num_sfu_units 2 --gpgpu_num_dp_units 1 - +## Pascal GP102 has 4 SP SIMD units and 4 SFU units per SM. +# There is no INT unit in Pascal +-gpgpu_pipeline_widths 4,0,0,4,4,4,0,0,4,4,8 +-gpgpu_num_sp_units 4 +-gpgpu_num_sfu_units 4 # Instruction latencies and initiation intervals # "ADD,MAX,MUL,MAD,DIV,SHFL" # All Div operations are executed on SFU unit -# Throughput (initiation latency) are adopted from CUDA SDK document V8, section 5.4.1, Table 2 -ptx_opcode_latency_int 4,13,4,5,145,32 -ptx_opcode_initiation_int 1,1,1,1,4,4 --ptx_opcode_latency_fp 4,13,4,5,39 +-ptx_opcode_latency_fp 4,13,4,4,39 -ptx_opcode_initiation_fp 1,2,1,1,4 -ptx_opcode_latency_dp 8,19,8,8,330 -ptx_opcode_initiation_dp 8,8,8,8,130 -ptx_opcode_initiation_sfu 4 --ptx_opcode_latency_sfu 8 +-ptx_opcode_latency_sfu 20 + +-trace_opcode_latency_initiation_int 4,1 +-trace_opcode_latency_initiation_sp 4,1 +-trace_opcode_latency_initiation_dp 20,8 +-trace_opcode_latency_initiation_sfu 20,4 + +# in sub_core_model, schedulers are isolated, each scheduler has its own register file and EUs +-gpgpu_sub_core_model 1 +# enable operand collector +# disable specialized operand collectors and use generic operand collectors instead +-gpgpu_enable_specialized_operand_collector 0 +-gpgpu_operand_collector_num_units_gen 8 +-gpgpu_operand_collector_num_in_ports_gen 8 +-gpgpu_operand_collector_num_out_ports_gen 8 +# 16 register banks, 4 banks per subcore +-gpgpu_num_reg_banks 16 +-gpgpu_reg_file_port_throughput 2 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +# Use Pascal Coalsce arhitetecture +-gpgpu_coalesce_arch 61 +# Pascal 102 has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto + +## In Pascal, a warp scheduler can issue 2 insts per cycle using 2 diff execution units +-gpgpu_max_insn_issue_per_warp 2 +-gpgpu_dual_issue_diff_exec_units 1 -# latencies and cache configs are adopted from: -# https://arxiv.org/pdf/1804.06826.pdf +## L1/shared memory configuration # <nsets>:<bsize>:<assoc>,<rep>:<wr>:<alloc>:<wr_alloc>:<set_index_fn>,<mshr>:<N>:<merge>,<mq>:**<fifo_entry> # ** Optional parameter - Required when mshr_type==Texture Fifo # Note: Hashing set index function (H) only applies to a set size of 32 or 64. -# Pascal GP102 has 96KB Shared memory divided over 2 cores, each has 48KB -# Pascal GP102 has 2 banks L1 cache, where each is 24KB L1 cache # The defulat is to disable the L1 cache, unless cache modifieres are used --gpgpu_cache:dl1 S:4:128:48,L:L:s:N:L,A:256:8,16:0,32 --gpgpu_cache:dl1PrefL1 S:4:128:48,L:L:s:N:L,A:256:8,16:0,32 --gpgpu_cache:dl1PrefShared S:4:128:48,L:L:s:N:L,A:256:8,16:0,32 --gpgpu_shmem_size 49152 --gpgpu_shmem_sizeDefault 49152 --gpgpu_shmem_size_PrefL1 49152 --gpgpu_shmem_size_PrefShared 49152 +-gpgpu_l1_banks 2 +-gpgpu_cache:dl1 S:4:128:96,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_cache:dl1PrefL1 S:4:128:96,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_cache:dl1PrefShared S:4:128:96,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_shmem_size 98304 +-gpgpu_shmem_sizeDefault 98304 +-gpgpu_shmem_size_PrefL1 98304 +-gpgpu_shmem_size_PrefShared 98304 # By default, L1 cache is disabled in Pascal P102. # requests with .nc modifier or __ldg mehtod will be cached in L1 cache even with gmem_skip_L1D=1 --gmem_skip_L1D 1 +-gpgpu_gmem_skip_L1D 1 -icnt_flit_size 40 -gpgpu_n_cluster_ejection_buffer_size 32 --l1_latency 82 --smem_latency 24 +-gpgpu_l1_latency 82 +-gpgpu_smem_latency 24 -gpgpu_flush_l1_cache 1 # 64 sets, each 128 bytes 16-way for each memory sub partition (128 KB per memory sub partition). This gives 3MB L2 cache --gpgpu_cache:dl2 S:64:128:16,L:B:m:L:L,A:256:64,16:0,32 +-gpgpu_cache:dl2 S:1:128:1024,L:B:m:L:L,A:256:64,16:0,32 -gpgpu_cache:dl2_texture_only 0 -gpgpu_dram_partition_queues 32:32:32:32 --perf_sim_memcpy 1 --memory_partition_indexing 0 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 4 # 4 KB Inst. -gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4 +-gpgpu_inst_fetch_throughput 8 # 48 KB Tex # Note, TEX is deprected in Pascal, It is used for legacy apps only. Use L1D cache instead with .nc modifier or __ldg mehtod -gpgpu_tex_cache:l1 N:16:128:24,L:R:m:N:L,T:128:4,128:2 # 12 KB Const -gpgpu_const_cache:l1 N:128:64:2,L:R:f:N:L,S:2:64,4 - -# enable operand collector --gpgpu_operand_collector_num_units_sp 12 --gpgpu_operand_collector_num_units_sfu 6 --gpgpu_operand_collector_num_units_mem 8 --gpgpu_operand_collector_num_units_dp 6 --gpgpu_operand_collector_num_in_ports_sp 2 --gpgpu_operand_collector_num_out_ports_sp 2 --gpgpu_operand_collector_num_in_ports_sfu 2 --gpgpu_operand_collector_num_out_ports_sfu 2 --gpgpu_operand_collector_num_in_ports_mem 1 --gpgpu_operand_collector_num_out_ports_mem 1 --gpgpu_operand_collector_num_in_ports_dp 1 --gpgpu_operand_collector_num_out_ports_dp 1 --gpgpu_num_reg_banks 32 - -# shared memory bankconflict detection --gpgpu_shmem_num_banks 32 --gpgpu_shmem_limited_broadcast 0 --gpgpu_shmem_warp_parts 1 -# Use Pascal Coalsce arhitetecture --gpgpu_coalesce_arch 61 - -## In Pascal, a warp scheduler can issue 2 insts per cycle using 2 diff execution units --gpgpu_max_insn_issue_per_warp 2 --gpgpu_dual_issue_diff_exec_units 1 +-gpgpu_perfect_inst_const_cache 1 # interconnection -network_mode 1 -inter_config_file config_pascal_islip.icnt # memory partition latency config --rop_latency 120 +-gpgpu_l2_rop_latency 120 -dram_latency 100 # dram model config @@ -164,17 +168,8 @@ -dram_bnk_indexing_policy 0 -dram_bnkgrp_indexing_policy 1 -#-Seperate_Write_Queue_Enable 1 -#-Write_Queue_Size 64:56:32 - -# Pascal 102 has four schedulers per core --gpgpu_num_sched_per_core 2 -# Two Level Scheduler with active and pending pools -#-gpgpu_scheduler two_level_active:6:0:1 -# Loose round robbin scheduler -#-gpgpu_scheduler lrr -# Greedy then oldest scheduler --gpgpu_scheduler gto +#-dram_seperate_write_queue_enable 1 +#-dram_write_queue_size 64:56:32 # stat collection -gpgpu_memlatency_stat 14 diff --git a/configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt b/configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt new file mode 100644 index 0000000..eed1c34 --- /dev/null +++ b/configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt @@ -0,0 +1,73 @@ +//52*1 fly with 32 flits per packet under gpgpusim injection mode +use_map = 0; +flit_size = 40; + +// currently we do not use this, see subnets below +network_count = 2; + +// Topology +topology = fly; +k = 52; +n = 1; + +// Routing + +routing_function = dest_tag; + +// Flow control + +num_vcs = 1; +vc_buf_size = 64; +input_buffer_size = 256; +ejection_buffer_size = 64; +boundary_buffer_size = 64; + +wait_for_tail_credit = 0; + +// Router architecture + +vc_allocator = islip; //separable_input_first; +sw_allocator = islip; //separable_input_first; +alloc_iters = 1; + +credit_delay = 0; +routing_delay = 0; +vc_alloc_delay = 1; +sw_alloc_delay = 1; + +input_speedup = 1; +output_speedup = 1; +internal_speedup = 2.0; + +// Traffic, GPGPU-Sim does not use this + +traffic = uniform; +packet_size ={{1,2,3,4},{10,20}}; +packet_size_rate={{1,1,1,1},{2,1}}; + +// Simulation - Don't change + +sim_type = gpgpusim; +//sim_type = latency; +injection_rate = 0.1; + +subnets = 2; + +// Always use read and write no matter following line +//use_read_write = 1; + + +read_request_subnet = 0; +read_reply_subnet = 1; +write_request_subnet = 0; +write_reply_subnet = 1; + +read_request_begin_vc = 0; +read_request_end_vc = 0; +write_request_begin_vc = 0; +write_request_end_vc = 0; +read_reply_begin_vc = 0; +read_reply_end_vc = 0; +write_reply_begin_vc = 0; +write_reply_end_vc = 0; + diff --git a/configs/tested-cfgs/SM75_RTX2060/gpgpusim.config b/configs/tested-cfgs/SM75_RTX2060/gpgpusim.config new file mode 100644 index 0000000..75b3c99 --- /dev/null +++ b/configs/tested-cfgs/SM75_RTX2060/gpgpusim.config @@ -0,0 +1,192 @@ +# This config models the Turing RTX 2060 +# For more info about turing architecture: +# 1- https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/technologies/turing-architecture/NVIDIA-Turing-Architecture-Whitepaper.pdf +# 2- "RTX on—The NVIDIA Turing GPU", IEEE MICRO 2020 + +# functional simulator specification +-gpgpu_ptx_instruction_classification 0 +-gpgpu_ptx_sim_mode 0 +-gpgpu_ptx_force_max_capability 75 + +# Device Limits +-gpgpu_stack_size_limit 1024 +-gpgpu_heap_size_limit 8388608 +-gpgpu_runtime_sync_depth_limit 2 +-gpgpu_runtime_pending_launch_count_limit 2048 +-gpgpu_kernel_launch_latency 5000 + +# Compute Capability +-gpgpu_compute_capability_major 7 +-gpgpu_compute_capability_minor 5 + +# PTX execution-driven +-gpgpu_ptx_convert_to_ptxplus 0 +-gpgpu_ptx_save_converted_ptxplus 0 +# SASS trace-driven mode execution +#-trace_driven_mode 1 + +# high level architecture configuration +-gpgpu_n_clusters 30 +-gpgpu_n_cores_per_cluster 1 +-gpgpu_n_mem 12 +-gpgpu_n_sub_partition_per_mchannel 2 + +# volta clock domains +#-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock> +-gpgpu_clock_domains 1365.0:1365.0:1365.0:3500.0 +# boost mode +# -gpgpu_clock_domains 1680.0:1680.0:1680.0:3500.0 + +# shader core pipeline config +-gpgpu_shader_registers 65536 +-gpgpu_registers_per_block 65536 +-gpgpu_occupancy_sm_number 75 + +# This implies a maximum of 32 warps/SM +-gpgpu_shader_core_pipeline 1024:32 +-gpgpu_shader_cta 32 +-gpgpu_simd_model 1 + +# Pipeline widths and number of FUs +# ID_OC_SP,ID_OC_DP,ID_OC_INT,ID_OC_SFU,ID_OC_MEM,OC_EX_SP,OC_EX_DP,OC_EX_INT,OC_EX_SFU,OC_EX_MEM,EX_WB,ID_OC_TENSOR_CORE,OC_EX_TENSOR_CORE +## Turing has 4 SP SIMD units, 4 INT units, 4 SFU units, 8 Tensor core units +## We need to scale the number of pipeline registers to be equal to the number of SP units +-gpgpu_pipeline_widths 4,0,4,4,4,4,0,4,4,4,8,4,4 +-gpgpu_num_sp_units 4 +-gpgpu_num_sfu_units 4 +-gpgpu_num_int_units 4 +-gpgpu_tensor_core_avail 1 +-gpgpu_num_tensor_core_units 4 + +# Instruction latencies and initiation intervals +# "ADD,MAX,MUL,MAD,DIV" +# All Div operations are executed on SFU unit +-ptx_opcode_latency_int 4,13,4,5,145 +-ptx_opcode_initiation_int 2,2,2,2,8 +-ptx_opcode_latency_fp 4,13,4,5,39 +-ptx_opcode_initiation_fp 2,2,2,2,4 +-ptx_opcode_latency_dp 8,19,8,8,330 +-ptx_opcode_initiation_dp 4,4,4,4,130 +-ptx_opcode_latency_sfu 100 +-ptx_opcode_initiation_sfu 8 +-ptx_opcode_latency_tesnor 64 +-ptx_opcode_initiation_tensor 64 + +-trace_opcode_latency_initiation_int 4,2 +-trace_opcode_latency_initiation_sp 4,2 +-trace_opcode_latency_initiation_dp 8,4 +-trace_opcode_latency_initiation_sfu 20,8 +-trace_opcode_latency_initiation_tensor 8,4 + +# Turing has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto +## In Turing, a warp scheduler can issue 1 inst per cycle +-gpgpu_max_insn_issue_per_warp 1 +-gpgpu_dual_issue_diff_exec_units 1 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +-gpgpu_coalesce_arch 75 + +# Trung has sub core model, in which each scheduler has its own register file and EUs +# i.e. schedulers are isolated +-gpgpu_sub_core_model 1 +# disable specialized operand collectors and use generic operand collectors instead +-gpgpu_enable_specialized_operand_collector 0 +-gpgpu_operand_collector_num_units_gen 8 +-gpgpu_operand_collector_num_in_ports_gen 8 +-gpgpu_operand_collector_num_out_ports_gen 8 +# turing has 8 banks dual-port, 4 schedulers, two banks per scheduler +# we increase #banks to 16 to mitigate the effect of Regisrer File Cache (RFC) which we do not implement in the current version +-gpgpu_num_reg_banks 16 +-gpgpu_reg_file_port_throughput 2 + +# <nsets>:<bsize>:<assoc>,<rep>:<wr>:<alloc>:<wr_alloc>:<set_index_fn>,<mshr>:<N>:<merge>,<mq>:**<fifo_entry> +# ** Optional parameter - Required when mshr_type==Texture Fifo +-gpgpu_adaptive_cache_config 0 +-gpgpu_l1_banks 4 +-gpgpu_cache:dl1 S:1:128:512,L:L:s:N:L,A:256:8,16:0,32 +-gpgpu_shmem_size 65536 +-gpgpu_shmem_sizeDefault 65536 +-gpgpu_shmem_per_block 65536 +-gpgpu_gmem_skip_L1D 0 +-gpgpu_n_cluster_ejection_buffer_size 32 +-gpgpu_l1_latency 20 +-gpgpu_smem_latency 20 +-gpgpu_flush_l1_cache 1 + +# 32 sets, each 128 bytes 32-way for each memory sub partition (96 KB per memory sub partition). This gives us 6MB L2 cache +-gpgpu_cache:dl2 S:32:128:32,L:B:m:L:L,A:192:4,32:0,32 +-gpgpu_cache:dl2_texture_only 0 +-gpgpu_dram_partition_queues 64:64:64:64 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 0 + +# 128 KB Inst. +-gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-gpgpu_inst_fetch_throughput 4 +# 128 KB Tex +# Note, TEX is deprected in Volta, It is used for legacy apps only. Use L1D cache instead with .nc modifier or __ldg mehtod +-gpgpu_tex_cache:l1 N:4:128:256,L:R:m:N:L,T:512:8,128:2 +# 64 KB Const +-gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 +-gpgpu_perfect_inst_const_cache 1 + +# interconnection +#-network_mode 1 +#-inter_config_file config_turing_islip.icnt +# use built-in local xbar +-network_mode 2 +-icnt_in_buffer_limit 512 +-icnt_out_buffer_limit 512 +-icnt_subnets 2 +-icnt_arbiter_algo 1 +-icnt_flit_size 40 + +# memory partition latency config +-gpgpu_l2_rop_latency 160 +-dram_latency 100 + +# dram model config +-gpgpu_dram_scheduler 1 +-gpgpu_frfcfs_dram_sched_queue_size 64 +-gpgpu_dram_return_queue_size 192 + +# Turing has GDDR6 +# http://monitorinsider.com/GDDR6.html +-gpgpu_n_mem_per_ctrlr 1 +-gpgpu_dram_buswidth 2 +-gpgpu_dram_burst_length 16 +-dram_data_command_freq_ratio 4 +-gpgpu_mem_address_mask 1 +-gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCC.BCCSSSSS + +# Use the same GDDR5 timing, scaled to 3500MHZ +-gpgpu_dram_timing_opt "nbk=16:CCD=4:RRD=10:RCD=20:RAS=50:RP=20:RC=62: + CL=20:WL=8:CDLR=9:WR=20:nbkgrp=4:CCDL=4:RTPL=4" + +# select lower bits for bnkgrp to increase bnkgrp parallelism +-dram_bnk_indexing_policy 0 +-dram_bnkgrp_indexing_policy 1 + +#-dram_seperate_write_queue_enable 1 +#-dram_write_queue_size 64:56:32 + +# stat collection +-gpgpu_memlatency_stat 14 +-gpgpu_runtime_stat 500 +-enable_ptx_file_line_stats 1 +-visualizer_enabled 0 + +# power model configs, disable it untill we create a real energy model for Volta +-power_simulation_enabled 0 + +# tracing functionality +#-trace_enabled 1 +#-trace_components WARP_SCHEDULER,SCOREBOARD +#-trace_sampling_core 0 + diff --git a/configs/tested-cfgs/SM7_QV100/gpgpusim.config b/configs/tested-cfgs/SM7_QV100/gpgpusim.config index 91ff0b4..5856e5d 100644 --- a/configs/tested-cfgs/SM7_QV100/gpgpusim.config +++ b/configs/tested-cfgs/SM7_QV100/gpgpusim.config @@ -13,20 +13,23 @@ -gpgpu_ptx_sim_mode 0 -gpgpu_ptx_force_max_capability 70 - # Device Limits -gpgpu_stack_size_limit 1024 -gpgpu_heap_size_limit 8388608 -gpgpu_runtime_sync_depth_limit 2 -gpgpu_runtime_pending_launch_count_limit 2048 +-gpgpu_kernel_launch_latency 5000 +-gpgpu_TB_launch_latency 0 # Compute Capability -gpgpu_compute_capability_major 7 -gpgpu_compute_capability_minor 0 -# SASS execution (only supported with CUDA >= 4.0) +# PTX execution-driven -gpgpu_ptx_convert_to_ptxplus 0 -gpgpu_ptx_save_converted_ptxplus 0 +# SASS trace-driven mode support +#-trace_driven_mode 1 # high level architecture configuration -gpgpu_n_clusters 80 @@ -36,8 +39,6 @@ # volta clock domains #-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock> -# Volta NVIDIA TITANV clock domains are adopted from -# https://en.wikipedia.org/wiki/Volta_(microarchitecture) -gpgpu_clock_domains 1132.0:1132.0:1132.0:850.0 # boost mode # -gpgpu_clock_domains 1628.0:1628.0:1628.0:850.0 @@ -67,8 +68,6 @@ # Instruction latencies and initiation intervals # "ADD,MAX,MUL,MAD,DIV" # All Div operations are executed on SFU unit -# Throughput (initiation latency) are adopted from -# http://on-demand.gputechconf.com/gtc/2018/presentation/s8122-dissecting-the-volta-gpu-architecture-through-microbenchmarking.pdf -ptx_opcode_latency_int 4,13,4,5,145,21 -ptx_opcode_initiation_int 2,2,2,2,8,4 -ptx_opcode_latency_fp 4,13,4,5,39 @@ -80,6 +79,40 @@ -ptx_opcode_latency_tesnor 64 -ptx_opcode_initiation_tensor 64 +-trace_opcode_latency_initiation_int 4,2 +-trace_opcode_latency_initiation_sp 4,2 +-trace_opcode_latency_initiation_dp 8,4 +-trace_opcode_latency_initiation_sfu 20,8 +-trace_opcode_latency_initiation_tensor 8,4 + +# Volta has sub core model, in which each scheduler has its own register file and EUs +# i.e. schedulers are isolated +-gpgpu_sub_core_model 1 +# disable specialized operand collectors and use generic operand collectors instead +-gpgpu_enable_specialized_operand_collector 0 +-gpgpu_operand_collector_num_units_gen 8 +-gpgpu_operand_collector_num_in_ports_gen 8 +-gpgpu_operand_collector_num_out_ports_gen 8 +# volta has 8 banks, 4 schedulers, two banks per scheduler +# we increase #banks to 16 to mitigate the effect of Regisrer File Cache (RFC) which we do not implement in the current version +-gpgpu_num_reg_banks 16 +-gpgpu_reg_file_port_throughput 2 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +-gpgpu_coalesce_arch 60 + +# Volta has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto +## In Volta, a warp scheduler can issue 1 inst per cycle +-gpgpu_max_insn_issue_per_warp 1 +-gpgpu_dual_issue_diff_exec_units 1 + +## L1/shared memory configuration # <nsets>:<bsize>:<assoc>,<rep>:<wr>:<alloc>:<wr_alloc>:<set_index_fn>,<mshr>:<N>:<merge>,<mq>:**<fifo_entry> # ** Optional parameter - Required when mshr_type==Texture Fifo # Defualt config is 32KB DL1 and 96KB shared memory @@ -87,67 +120,49 @@ # if the assigned shd mem = 0, then L1 cache = 128KB # For more info, see https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#shared-memory-7-x # disable this mode in case of multi kernels/apps execution --adaptive_cache_config 1 +-gpgpu_adaptive_cache_config 1 # Volta unified cache has four banks --l1_banks 4 -#-mem_unit_ports 4 +-gpgpu_l1_banks 4 -gpgpu_cache:dl1 S:1:128:256,L:L:s:N:L,A:256:8,16:0,32 -gpgpu_shmem_size 98304 -gpgpu_shmem_sizeDefault 98304 -gpgpu_shmem_per_block 65536 --gmem_skip_L1D 0 --icnt_flit_size 40 +-gpgpu_gmem_skip_L1D 0 -gpgpu_n_cluster_ejection_buffer_size 32 --l1_latency 20 --smem_latency 20 +-gpgpu_l1_latency 20 +-gpgpu_smem_latency 20 -gpgpu_flush_l1_cache 1 # 32 sets, each 128 bytes 24-way for each memory sub partition (96 KB per memory sub partition). This gives us 6MB L2 cache -gpgpu_cache:dl2 S:32:128:24,L:B:m:L:L,A:192:4,32:0,32 -gpgpu_cache:dl2_texture_only 0 -gpgpu_dram_partition_queues 64:64:64:64 --perf_sim_memcpy 1 --memory_partition_indexing 4 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 2 # 128 KB Inst. -gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-gpgpu_inst_fetch_throughput 4 # 128 KB Tex # Note, TEX is deprected in Volta, It is used for legacy apps only. Use L1D cache instead with .nc modifier or __ldg mehtod -gpgpu_tex_cache:l1 N:4:128:256,L:R:m:N:L,T:512:8,128:2 # 64 KB Const -gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 - -# Volta has sub core model, in which each scheduler has its own register file and EUs -# i.e. schedulers are isolated --sub_core_model 1 -# disable specialized operand collectors and use generic operand collectors instead --enable_specialized_operand_collector 0 --gpgpu_operand_collector_num_units_gen 32 --gpgpu_operand_collector_num_in_ports_gen 8 --gpgpu_operand_collector_num_out_ports_gen 8 -# Volta has 8 banks, 4 schedulers, two banks per scheduler -# However, since we do not model register file cache (RFC), we increase the number of banks to 32 to -# resuce banks conflits, mitigate RFC impact, and matche the hardware performance. To Do: RFC --gpgpu_num_reg_banks 32 - -# shared memory bankconflict detection --gpgpu_shmem_num_banks 32 --gpgpu_shmem_limited_broadcast 0 --gpgpu_shmem_warp_parts 1 --gpgpu_coalesce_arch 60 - -## In Volta, a warp scheduler can issue 1 inst per cycle --gpgpu_max_insn_issue_per_warp 1 --gpgpu_dual_issue_diff_exec_units 1 +-gpgpu_perfect_inst_const_cache 1 # interconnection --network_mode 1 --inter_config_file config_volta_islip.icnt -# for local xbar, use: -# "-network_mode 2 -inct_in_buffer_limit 512 -inct_out_buffer_limit 512 -inct_subnets 2" +#-network_mode 1 +#-inter_config_file config_volta_islip.icnt +# use built-in local xbar +-network_mode 2 +-icnt_in_buffer_limit 512 +-icnt_out_buffer_limit 512 +-icnt_subnets 2 +-icnt_flit_size 40 +-icnt_arbiter_algo 1 # memory partition latency config --rop_latency 160 +-gpgpu_l2_rop_latency 160 -dram_latency 100 # dram model config @@ -174,22 +189,13 @@ CL=12:WL=2:CDLR=3:WR=10:nbkgrp=4:CCDL=2:RTPL=3" # HBM has dual bus interface, in which it can issue two col and row commands at a time --dual_bus_interface 1 +-dram_dual_bus_interface 1 # select lower bits for bnkgrp to increase bnkgrp parallelism -dram_bnk_indexing_policy 0 -dram_bnkgrp_indexing_policy 1 -#-Seperate_Write_Queue_Enable 1 -#-Write_Queue_Size 64:56:32 - -# Volta has four schedulers per core --gpgpu_num_sched_per_core 4 -# Two Level Scheduler with active and pending pools -#-gpgpu_scheduler two_level_active:6:0:1 -# Loose round robbin scheduler -#-gpgpu_scheduler lrr -# Greedy then oldest scheduler --gpgpu_scheduler gto +#-dram_seperate_write_queue_enable 1 +#-dram_write_queue_size 64:56:32 # stat collection -gpgpu_memlatency_stat 14 diff --git a/configs/tested-cfgs/SM7_TITANV/gpgpusim.config b/configs/tested-cfgs/SM7_TITANV/gpgpusim.config index a77ab74..eece246 100644 --- a/configs/tested-cfgs/SM7_TITANV/gpgpusim.config +++ b/configs/tested-cfgs/SM7_TITANV/gpgpusim.config @@ -13,7 +13,6 @@ -gpgpu_ptx_sim_mode 0 -gpgpu_ptx_force_max_capability 70 - # Device Limits -gpgpu_stack_size_limit 1024 -gpgpu_heap_size_limit 8388608 @@ -27,6 +26,8 @@ # SASS execution (only supported with CUDA >= 4.0) -gpgpu_ptx_convert_to_ptxplus 0 -gpgpu_ptx_save_converted_ptxplus 0 +# SASS trace-driven mode support +#-trace_driven_mode 1 # high level architecture configuration -gpgpu_n_clusters 40 @@ -67,10 +68,10 @@ # Instruction latencies and initiation intervals # "ADD,MAX,MUL,MAD,DIV" # All Div operations are executed on SFU unit -# Throughput (initiation latency except shfl) are adopted from +# Throughput (initiation latency) are adopted from # http://on-demand.gputechconf.com/gtc/2018/presentation/s8122-dissecting-the-volta-gpu-architecture-through-microbenchmarking.pdf --ptx_opcode_latency_int 4,13,4,5,145,32 --ptx_opcode_initiation_int 2,2,2,2,8,4 +-ptx_opcode_latency_int 4,13,4,5,145 +-ptx_opcode_initiation_int 2,2,2,2,8 -ptx_opcode_latency_fp 4,13,4,5,39 -ptx_opcode_initiation_fp 2,2,2,2,4 -ptx_opcode_latency_dp 8,19,8,8,330 @@ -80,6 +81,39 @@ -ptx_opcode_latency_tesnor 64 -ptx_opcode_initiation_tensor 64 +-trace_opcode_latency_initiation_int 4,2 +-trace_opcode_latency_initiation_sp 4,2 +-trace_opcode_latency_initiation_dp 8,4 +-trace_opcode_latency_initiation_sfu 20,8 +-trace_opcode_latency_initiation_tensor 8,4 + +# Volta has sub core model, in which each scheduler has its own register file and EUs +# i.e. schedulers are isolated +-gpgpu_sub_core_model 1 +# disable specialized operand collectors and use generic operand collectors instead +-gpgpu_enable_specialized_operand_collector 0 +-gpgpu_operand_collector_num_units_gen 8 +-gpgpu_operand_collector_num_in_ports_gen 8 +-gpgpu_operand_collector_num_out_ports_gen 8 +# volta has 8 banks, 4 schedulers, two banks per scheduler +-gpgpu_num_reg_banks 8 +-gpgpu_reg_file_port_throughput 2 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +-gpgpu_coalesce_arch 60 + +# Volta has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto +## In Volta, a warp scheduler can issue 1 inst per cycle +-gpgpu_max_insn_issue_per_warp 1 +-gpgpu_dual_issue_diff_exec_units 1 + +## L1/shared memory configuration # <nsets>:<bsize>:<assoc>,<rep>:<wr>:<alloc>:<wr_alloc>:<set_index_fn>,<mshr>:<N>:<merge>,<mq>:**<fifo_entry> # ** Optional parameter - Required when mshr_type==Texture Fifo # Defualt config is 32KB DL1 and 96KB shared memory @@ -87,65 +121,46 @@ # if the assigned shd mem = 0, then L1 cache = 128KB # For more info, see https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#shared-memory-7-x # disable this mode in case of multi kernels/apps execution --adaptive_cache_config 1 +-gpgpu_adaptive_cache_config 1 # Volta unified cache has four banks --l1_banks 4 +-gpgpu_l1_banks 4 #-mem_unit_ports 4 -gpgpu_cache:dl1 S:1:128:256,L:L:s:N:L,A:256:8,16:0,32 -gpgpu_shmem_size 98304 -gpgpu_shmem_sizeDefault 98304 -gpgpu_shmem_per_block 65536 --gmem_skip_L1D 0 --icnt_flit_size 40 +-gpgpu_gmem_skip_L1D 0 -gpgpu_n_cluster_ejection_buffer_size 32 --l1_latency 20 --smem_latency 20 +-gpgpu_l1_latency 20 +-gpgpu_smem_latency 20 -gpgpu_flush_l1_cache 1 # 32 sets, each 128 bytes 24-way for each memory sub partition (96 KB per memory sub partition). This gives us 4.5MB L2 cache -gpgpu_cache:dl2 S:32:128:24,L:B:m:L:L,A:192:4,32:0,32 -gpgpu_cache:dl2_texture_only 0 -gpgpu_dram_partition_queues 64:64:64:64 --perf_sim_memcpy 1 --memory_partition_indexing 4 +-gpgpu_perf_sim_memcpy 1 +-gpgpu_memory_partition_indexing 0 # 128 KB Inst. -gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-gpgpu_inst_fetch_throughput 4 # 48 KB Tex # Note, TEX is deprected in Volta, It is used for legacy apps only. Use L1D cache instead with .nc modifier or __ldg mehtod -gpgpu_tex_cache:l1 N:4:128:256,L:R:m:N:L,T:512:8,128:2 # 64 KB Const -gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 - -# Volta has sub core model, in which each scheduler has its own register file and EUs -# i.e. schedulers are isolated --sub_core_model 1 -# disable specialized operand collectors and use generic operand collectors instead --enable_specialized_operand_collector 0 --gpgpu_operand_collector_num_units_gen 8 --gpgpu_operand_collector_num_in_ports_gen 8 --gpgpu_operand_collector_num_out_ports_gen 8 -# volta has 8 banks, 4 schedulers, two banks per scheduler --gpgpu_num_reg_banks 8 - -# shared memory bankconflict detection --gpgpu_shmem_num_banks 32 --gpgpu_shmem_limited_broadcast 0 --gpgpu_shmem_warp_parts 1 --gpgpu_coalesce_arch 60 - -## In Volta, a warp scheduler can issue 1 inst per cycle --gpgpu_max_insn_issue_per_warp 1 --gpgpu_dual_issue_diff_exec_units 1 +-gpgpu_perfect_inst_const_cache 1 # interconnection -network_mode 1 -inter_config_file config_volta_islip.icnt +-icnt_flit_size 40 # for local xbar, use: # "-network_mode 2 -inct_in_buffer_limit 512 -inct_out_buffer_limit 512 -inct_subnets 2" # memory partition latency config --rop_latency 160 +-gpgpu_l2_rop_latency 160 -dram_latency 100 # dram model config @@ -172,22 +187,13 @@ CL=12:WL=2:CDLR=3:WR=10:nbkgrp=4:CCDL=2:RTPL=3" # HBM has dual bus interface, in which it can issue two col and row commands at a time --dual_bus_interface 1 +-dram_dual_bus_interface 1 # select lower bits for bnkgrp to increase bnkgrp parallelism --dram_bnk_indexing_policy 0 +-dram_bnk_indexing_policy 1 -dram_bnkgrp_indexing_policy 1 -#-Seperate_Write_Queue_Enable 1 -#-Write_Queue_Size 64:56:32 - -# Volta has four schedulers per core --gpgpu_num_sched_per_core 4 -# Two Level Scheduler with active and pending pools -#-gpgpu_scheduler two_level_active:6:0:1 -# Loose round robbin scheduler -#-gpgpu_scheduler lrr -# Greedy then oldest scheduler --gpgpu_scheduler gto +-dram_seperate_write_queue_enable 1 +-dram_write_queue_size 128:108:32 # stat collection -gpgpu_memlatency_stat 14 |