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authorAhmad Alawneh <[email protected]>2025-06-18 23:05:33 -0400
committerGitHub <[email protected]>2025-06-19 03:05:33 +0000
commit6b22d6644e23bbf25e1575498a54e48857aee6be (patch)
tree3b68ecd2477912e59da81766b3083b456dd82016 /configs/tested-cfgs/NVIDIA_A100_80GB_PCIe/gpgpusim.config
parent7d3ad23807bc0c1a7a29640b2f15c2436033bfe7 (diff)
rename conf (#123)
Diffstat (limited to 'configs/tested-cfgs/NVIDIA_A100_80GB_PCIe/gpgpusim.config')
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diff --git a/configs/tested-cfgs/NVIDIA_A100_80GB_PCIe/gpgpusim.config b/configs/tested-cfgs/NVIDIA_A100_80GB_PCIe/gpgpusim.config
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--- a/configs/tested-cfgs/NVIDIA_A100_80GB_PCIe/gpgpusim.config
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-# functional simulator specification
--gpgpu_ptx_instruction_classification 0
--gpgpu_ptx_sim_mode 0
--gpgpu_ptx_force_max_capability 80
-
-# 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
--gpgpu_max_concurrent_kernel 128
-
-# Compute Capability
--gpgpu_compute_capability_major 8
--gpgpu_compute_capability_minor 0
-
-# PTX execution-driven
--gpgpu_ptx_convert_to_ptxplus 0
--gpgpu_ptx_save_converted_ptxplus 0
-
-# high level architecture configuration
--gpgpu_n_clusters 108
--gpgpu_n_cores_per_cluster 1
--gpgpu_n_mem 40
--gpgpu_n_sub_partition_per_mchannel 2
-
-# clock domains
-#-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock>
--gpgpu_clock_domains 1410:1410:1410:1512
-
-# shader core pipeline config
--gpgpu_shader_registers 65536
--gpgpu_registers_per_block 65536
--gpgpu_occupancy_sm_number 80
-
--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,ID_OC_TENSOR_CORE,OC_EX_TENSOR_CORE
--gpgpu_pipeline_widths 4,4,4,4,4,4,4,4,4,4,8,4,4
--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
-
-# Instruction latencies and initiation intervals
-# "ADD,MAX,MUL,MAD,DIV"
-# All Div operations are executed on SFU unit
--ptx_opcode_latency_int 4,4,4,4,21
--ptx_opcode_initiation_int 2,2,2,2,2
--ptx_opcode_latency_fp 4,4,4,4,39
--ptx_opcode_initiation_fp 2,2,2,2,4
--ptx_opcode_latency_dp 6,6,6,6,330
--ptx_opcode_initiation_dp 4,4,4,4,130
--ptx_opcode_latency_sfu 23
--ptx_opcode_initiation_sfu 8
--ptx_opcode_latency_tesnor 25
--ptx_opcode_initiation_tensor 16
-
-# 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
-# register banks
--gpgpu_num_reg_banks 32
--gpgpu_reg_file_port_throughput 2
-
-# warp scheduling
--gpgpu_num_sched_per_core 4
--gpgpu_scheduler lrr
-# a warp scheduler issue mode
--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
-# In adaptive cache, we adaptively assign the remaining shared memory to L1 cache
-# For more info, see https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#shared-memory-7-x
--gpgpu_adaptive_cache_config 1
--gpgpu_shmem_option 0,8,16,32,64,164
--gpgpu_unified_l1d_size 192
-# L1 cache configuration
--gpgpu_l1_banks 4
--gpgpu_cache:dl1 S:4:128:64,L:T:m:L:L,A:512:64,16:0,32
--gpgpu_l1_latency 37
--gpgpu_gmem_skip_L1D 0
--gpgpu_flush_l1_cache 1
--gpgpu_n_cluster_ejection_buffer_size 32
--gpgpu_l1_cache_write_ratio 0
-
-# shared memory configuration
--gpgpu_shmem_size 167936
--gpgpu_shmem_sizeDefault 167936
--gpgpu_shmem_per_block 49152
--gpgpu_smem_latency 29
-# shared memory bankconflict detection
--gpgpu_shmem_num_banks 32
--gpgpu_shmem_limited_broadcast 0
--gpgpu_shmem_warp_parts 1
--gpgpu_coalesce_arch 80
-
-# L2 cache
--gpgpu_cache:dl2 S:256:128:16,L:B:m:L:X,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 since 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
-# 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
--gpgpu_l2_rop_latency 224
--dram_latency 198
-
-# dram sched config
--gpgpu_dram_scheduler 1
--gpgpu_frfcfs_dram_sched_queue_size 64
--gpgpu_dram_return_queue_size 192
-
-# dram model config
--gpgpu_n_mem_per_ctrlr 1
--gpgpu_dram_buswidth 16
--gpgpu_dram_burst_length 2
--dram_data_command_freq_ratio 2
--gpgpu_mem_address_mask 1
--gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCC.BCCSSSSS
-
-# Mem timing
--gpgpu_dram_timing_opt nbk=16:CCD=1:RRD=7:RCD=22:RAS=50:RP=22:RC=72:CL=22:WL=4:CDLR=5:WR=19:nbkgrp=4:CCDL=4:RTPL=7
--dram_dual_bus_interface 1
-
-# 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
--power_simulation_enabled 0
-
-# tracing functionality
-#-trace_enabled 1
-#-trace_components WARP_SCHEDULER,SCOREBOARD
-#-trace_sampling_core 0