diff options
| -rw-r--r-- | configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config | 79 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM6_TITANX/gpgpusim.config | 88 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt (renamed from configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt) | 2 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM75_RTX2060/gpgpusim.config (renamed from configs/tested-cfgs/Turing_RTX2060/gpgpusim.config) | 89 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM7_QV100/gpgpusim.config | 55 | ||||
| -rw-r--r-- | configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config | 71 |
6 files changed, 183 insertions, 201 deletions
diff --git a/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config index 323d2d9..1951a3f 100644 --- a/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config +++ b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config @@ -18,12 +18,13 @@ -gpgpu_compute_capability_major 3 -gpgpu_compute_capability_minor 5 -# 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 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 14 -gpgpu_n_cores_per_cluster 1 -gpgpu_n_mem 12 @@ -46,15 +47,13 @@ # 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 and 2 SFU units per SM. -# There is no int unit in kepler -## we need to scale the number of pipeline registers to be equal to the number of SP units +## 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 @@ -68,6 +67,38 @@ -ptx_opcode_initiation_sfu 2 -ptx_opcode_latency_sfu 200 +# 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. @@ -97,37 +128,12 @@ # 4 KB Inst. -gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4 +-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 -# 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 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 - # interconnection -network_mode 1 -inter_config_file config_kepler_islip.icnt @@ -161,15 +167,6 @@ #-Seperate_Write_Queue_Enable 1 #-Write_Queue_Size 64:56:32 -# Kepler TITAN 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 - # stat collection -gpgpu_memlatency_stat 14 -gpgpu_runtime_stat 500 diff --git a/configs/tested-cfgs/SM6_TITANX/gpgpusim.config b/configs/tested-cfgs/SM6_TITANX/gpgpusim.config index f8689c2..d54b7d4 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 @@ -23,7 +24,6 @@ -gpgpu_ptx_save_converted_ptxplus 0 # 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 1 -gpgpu_n_mem 12 @@ -46,35 +46,58 @@ # 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 4,1,0,4,1,4,1,0,4,1,9 +## 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 --gpgpu_num_dp_units 1 - # 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_latency_int 4,13,4,4,145 -ptx_opcode_initiation_int 1,1,1,1,4 --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 +# in sub_core_model, schedulers are isolated, each scheduler has its own register file and EUs +-sub_core_model 1 +# enable operand collector +# 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 +# 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. # The defulat is to disable the L1 cache, unless cache modifieres are used +-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 @@ -92,45 +115,21 @@ -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 +-memory_partition_indexing 4 # 4 KB Inst. -gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4 +-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 +-perfect_inst_const_cache 1 # interconnection -network_mode 1 @@ -165,15 +164,6 @@ #-Seperate_Write_Queue_Enable 1 #-Write_Queue_Size 64:56:32 -# Pascal 102 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 - # stat collection -gpgpu_memlatency_stat 14 -gpgpu_runtime_stat 500 diff --git a/configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt b/configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt index dec4789..eed1c34 100644 --- a/configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt +++ b/configs/tested-cfgs/SM75_RTX2060/config_turing_islip.icnt @@ -1,4 +1,4 @@ -//21*1 fly with 32 flits per packet under gpgpusim injection mode +//52*1 fly with 32 flits per packet under gpgpusim injection mode use_map = 0; flit_size = 40; diff --git a/configs/tested-cfgs/Turing_RTX2060/gpgpusim.config b/configs/tested-cfgs/SM75_RTX2060/gpgpusim.config index ab324d8..9d3992a 100644 --- a/configs/tested-cfgs/Turing_RTX2060/gpgpusim.config +++ b/configs/tested-cfgs/SM75_RTX2060/gpgpusim.config @@ -1,3 +1,8 @@ +# This config models the Turing RTX 2060 +# For more info about turing architecture: +# https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/technologies/turing-architecture/NVIDIA-Turing-Architecture-Whitepaper.pdf +# "RTX on—The NVIDIA Turing GPU", IEEE MICRO 2020 + # functional simulator specification -gpgpu_ptx_instruction_classification 0 -gpgpu_ptx_sim_mode 0 @@ -9,15 +14,16 @@ -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 +-gpgpu_compute_capability_minor 5 -# 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 execution +#-trace_driven_mode 1 # high level architecture configuration -gpgpu_n_clusters 30 @@ -27,8 +33,6 @@ # volta clock domains #-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock> -# Turing clock domains are adopted from -# https://en.wikipedia.org/wiki/GeForce_20_series -gpgpu_clock_domains 1365.0:1365.0:1365.0:3500.0 # boost mode # -gpgpu_clock_domains 1680.0:1680.0:1680.0:3500.0 @@ -36,7 +40,7 @@ # shader core pipeline config -gpgpu_shader_registers 65536 -gpgpu_registers_per_block 65536 --gpgpu_occupancy_sm_number 70 +-gpgpu_occupancy_sm_number 75 # This implies a maximum of 64 warps/SM -gpgpu_shader_core_pipeline 2048:32 @@ -45,12 +49,11 @@ # 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 -## Volta GV100 has 4 SP SIMD units, 4 SFU units, 4 DP units per core, 4 Tensor core units -## we need to scale the number of pipeline registers to be equal to the number of SP units --gpgpu_pipeline_widths 4,4,4,4,4,4,4,4,4,4,8,4,4 +## 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_dp_units 4 -gpgpu_num_int_units 4 -gpgpu_tensor_core_avail 1 -gpgpu_num_tensor_core_units 4 @@ -58,8 +61,6 @@ # 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 -ptx_opcode_initiation_int 2,2,2,2,8 -ptx_opcode_latency_fp 4,13,4,5,39 @@ -71,6 +72,34 @@ -ptx_opcode_latency_tesnor 64 -ptx_opcode_initiation_tensor 64 +# Trung 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 +# 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 + +# shared memory bankconflict detection +-gpgpu_shmem_num_banks 32 +-gpgpu_shmem_limited_broadcast 0 +-gpgpu_shmem_warp_parts 1 +-gpgpu_coalesce_arch 60 + +## 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 + +# Turing 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 -adaptive_cache_config 0 @@ -95,6 +124,7 @@ # 128 KB Inst. -gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-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 @@ -102,30 +132,10 @@ -gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 -perfect_inst_const_cache 1 -# 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 --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 - # interconnection #-network_mode 1 -#-inter_config_file config_volta_islip.icnt -# for local xbar, use: +#-inter_config_file config_turing_islip.icnt +# use built-in local xbar -network_mode 2 -inct_in_buffer_limit 512 -inct_out_buffer_limit 512 @@ -141,7 +151,7 @@ -gpgpu_frfcfs_dram_sched_queue_size 64 -gpgpu_dram_return_queue_size 192 -# GDDR6 +# Turing has GDDR6 # http://monitorinsider.com/GDDR6.html -gpgpu_n_mem_per_ctrlr 1 -gpgpu_dram_buswidth 2 @@ -161,15 +171,6 @@ #-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 - # stat collection -gpgpu_memlatency_stat 14 -gpgpu_runtime_stat 500 diff --git a/configs/tested-cfgs/SM7_QV100/gpgpusim.config b/configs/tested-cfgs/SM7_QV100/gpgpusim.config index 41aea78..1ed4fb2 100644 --- a/configs/tested-cfgs/SM7_QV100/gpgpusim.config +++ b/configs/tested-cfgs/SM7_QV100/gpgpusim.config @@ -25,7 +25,7 @@ -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 @@ -37,8 +37,6 @@ # 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 @@ -68,8 +66,6 @@ # 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 -ptx_opcode_initiation_int 2,2,2,2,8 -ptx_opcode_latency_fp 4,13,4,5,39 @@ -81,6 +77,30 @@ -ptx_opcode_latency_tesnor 64 -ptx_opcode_initiation_tensor 64 +# 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 +# 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 + +## 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 @@ -91,7 +111,6 @@ -adaptive_cache_config 1 # Volta unified cache has four banks -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 @@ -112,6 +131,7 @@ # 128 KB Inst. -gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-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 @@ -119,31 +139,10 @@ -gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 -perfect_inst_const_cache 1 -# 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 --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 - # interconnection #-network_mode 1 #-inter_config_file config_volta_islip.icnt -# for local xbar, use: +# use built-in local xbar -network_mode 2 -inct_in_buffer_limit 512 -inct_out_buffer_limit 512 diff --git a/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config b/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config index ba50287..0255f76 100644 --- a/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config +++ b/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config @@ -12,7 +12,6 @@ -gpgpu_ptx_instruction_classification 0 -gpgpu_ptx_sim_mode 0 -gpgpu_ptx_force_max_capability 70 --trace_driven_mode 1 # Device Limits -gpgpu_stack_size_limit 1024 @@ -25,7 +24,8 @@ -gpgpu_compute_capability_major 7 -gpgpu_compute_capability_minor 0 -# SASS execution (only supported with CUDA >= 4.0) +# SASS trace-driven mode support +-trace_driven_mode 1 -gpgpu_ptx_convert_to_ptxplus 0 -gpgpu_ptx_save_converted_ptxplus 0 @@ -37,8 +37,6 @@ # 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 @@ -68,8 +66,6 @@ # 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 -ptx_opcode_initiation_int 2,2,2,2,8 -ptx_opcode_latency_fp 4,13,4,5,39 @@ -81,6 +77,35 @@ -ptx_opcode_latency_tesnor 6 -ptx_opcode_initiation_tensor 2 +# 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 +# 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 + +## 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 + +# Volta has four schedulers per core +-gpgpu_num_sched_per_core 4 +# Greedy then oldest scheduler +-gpgpu_scheduler gto + +## 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 @@ -91,7 +116,6 @@ -adaptive_cache_config 1 # Volta unified cache has four banks -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 @@ -112,6 +136,7 @@ # 128 KB Inst. -gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4 +-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 @@ -119,31 +144,10 @@ -gpgpu_const_cache:l1 N:128:64:8,L:R:f:N:L,S:2:64,4 -perfect_inst_const_cache 1 -# 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 --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 - # interconnection #-network_mode 1 #-inter_config_file config_volta_islip.icnt -# for local xbar, use: +# use built-in local xbar -network_mode 2 -inct_in_buffer_limit 512 -inct_out_buffer_limit 512 @@ -186,15 +190,6 @@ #-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 - # stat collection -gpgpu_memlatency_stat 14 -gpgpu_runtime_stat 500 |