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authortgrogers <[email protected]>2018-10-23 11:14:22 -0400
committertgrogers <[email protected]>2018-10-23 11:14:22 -0400
commitab0d5d829d3f825736c5f91a365e755b2c2752c9 (patch)
tree6bf4002b392ad352bca95451466d1b362ab24c29 /configs/tested-cfgs/SM2_GTX480/gpgpusim.config
parent1e25ace1723498670fa6703345573bbe92aba3e9 (diff)
Moving configs to folders with better names
Diffstat (limited to 'configs/tested-cfgs/SM2_GTX480/gpgpusim.config')
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+# functional simulator specification
+-gpgpu_ptx_instruction_classification 0
+-gpgpu_ptx_sim_mode 0
+-gpgpu_ptx_force_max_capability 20
+
+
+# SASS execution (only supported with CUDA >= 4.0)
+-gpgpu_ptx_convert_to_ptxplus 0
+-gpgpu_ptx_save_converted_ptxplus 0
+
+# high level architecture configuration
+-gpgpu_n_clusters 15
+-gpgpu_n_cores_per_cluster 1
+-gpgpu_n_mem 6
+-gpgpu_n_sub_partition_per_mchannel 2
+
+# Fermi clock domains
+#-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock>
+# In Fermi, each pipeline has 16 execution units, so the Core clock needs to be divided
+# by 2. (GPGPU-Sim simulates a warp (32 threads) in a single cycle). 1400/2 = 700
+-gpgpu_clock_domains 700.0:700.0:700.0:924.0
+
+# shader core pipeline config
+-gpgpu_shader_registers 32768
+-gpgpu_occupancy_sm_number 20
+
+# This implies a maximum of 48 warps/SM
+-gpgpu_shader_core_pipeline 1536:32
+-gpgpu_shader_cta 8
+-gpgpu_simd_model 1
+
+# Pipeline widths and number of FUs
+# ID_OC_SP,ID_OC_DP,ID_OC_SFU,ID_OC_MEM,OC_EX_SP,OC_EX_DP,OC_EX_SFU,OC_EX_MEM,EX_WB
+#For Fermi, DP unit =0, DP inst is executed on SFU
+-gpgpu_pipeline_widths 2,0,1,1,2,0,1,1,2
+-gpgpu_num_sp_units 2
+-gpgpu_num_sfu_units 1
+-gpgpu_num_dp_units 0
+
+# Instruction latencies and initiation intervals
+# "ADD,MAX,MUL,MAD,DIV"
+-ptx_opcode_latency_int 4,13,4,5,145
+-ptx_opcode_initiation_int 1,2,2,1,8
+-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 8,16,8,8,130
+
+
+# In Fermi, the cache and shared memory can be configured to 16kb:48kb(default) or 48kb:16kb
+# <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.
+-gpgpu_cache:dl1 N:32:128:4,L:L:m:N:H,S:64:8,8
+-gpgpu_shmem_size 49152
+-icnt_flit_size 40
+-gmem_skip_L1D 0
+-gpgpu_n_cluster_ejection_buffer_size 32
+-l1_latency 35
+-smem_latency 26
+-gpgpu_flush_l1_cache 1
+
+# The alternative configuration for fermi in case cudaFuncCachePreferL1 is selected
+#-gpgpu_cache:dl1 N:64:128:6,L:L:m:N:H,S:64:8,8
+#-gpgpu_shmem_size 16384
+
+# 64 sets, each 128 bytes 8-way for each memory sub partition. This gives 786KB L2 cache
+-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_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
+-gpgpu_const_cache:l1 N:64:64:2,L:R:f:N:L,S:2:32,4
+
+# enable operand collector
+-gpgpu_operand_collector_num_units_sp 6
+-gpgpu_operand_collector_num_units_sfu 8
+-gpgpu_operand_collector_num_in_ports_sp 2
+-gpgpu_operand_collector_num_out_ports_sp 2
+-gpgpu_num_reg_banks 16
+
+# shared memory bankconflict detection
+-gpgpu_shmem_num_banks 32
+-gpgpu_shmem_limited_broadcast 0
+-gpgpu_shmem_warp_parts 1
+-gpgpu_coalesce_arch 20
+
+-gpgpu_max_insn_issue_per_warp 1
+
+# interconnection
+-network_mode 1
+-inter_config_file config_fermi_islip.icnt
+
+# memory partition latency config
+-rop_latency 120
+-dram_latency 100
+
+# dram model config
+-gpgpu_dram_scheduler 1
+# The DRAM return queue and the scheduler queue together should provide buffer
+# to sustain the memory level parallelism to tolerate DRAM latency
+# To allow 100% DRAM utility, there should at least be enough buffer to sustain
+# the minimum DRAM latency (100 core cycles). I.e.
+# Total buffer space required = 100 x 924MHz / 700MHz = 132
+-gpgpu_frfcfs_dram_sched_queue_size 64
+-gpgpu_dram_return_queue_size 116
+
+# for Fermi, bus width is 384bits, this is 8 bytes (4 bytes at each DRAM chip) per memory partition
+-gpgpu_n_mem_per_ctrlr 2
+-gpgpu_dram_buswidth 4
+-gpgpu_dram_burst_length 8
+-dram_data_command_freq_ratio 4 # GDDR5 is QDR
+-gpgpu_mem_address_mask 1
+-gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.BBBCCCCB.CCSSSSSS
+
+# GDDR5 timing from hynix H5GQ1H24AFR
+# to disable bank groups, set nbkgrp to 1 and tCCDL and tRTPL to 0
+-gpgpu_dram_timing_opt "nbk=16:CCD=2:RRD=6:RCD=12:RAS=28:RP=12:RC=40:
+ CL=12:WL=4:CDLR=5:WR=12:nbkgrp=4:CCDL=3:RTPL=2"
+
+# 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
+
+# Fermi has two 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
+
+# stat collection
+-gpgpu_memlatency_stat 14
+-gpgpu_runtime_stat 500
+-enable_ptx_file_line_stats 1
+-visualizer_enabled 0
+
+# power model configs
+-power_simulation_enabled 1
+-gpuwattch_xml_file gpuwattch_gtx480.xml
+
+# tracing functionality
+#-trace_enabled 1
+#-trace_components WARP_SCHEDULER,SCOREBOARD
+#-trace_sampling_core 0