add a100 conf

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