adding kepler sass, skip-first-kernel and update config file

8 files changed, 728 insertions, 21 deletions

diff --git a/configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt b/configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt
new file mode 100644
index 0000000..2fe3b53
--- /dev/null
+++ b/configs/tested-cfgs/SM3_KEPLER_TITAN/config_kepler_islip.icnt
@@ -0,0 +1,73 @@
+//21*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 = 38;
+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/SM3_KEPLER_TITAN/gpgpusim.config b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config
new file mode 100644
index 0000000..323d2d9
--- /dev/null
+++ b/configs/tested-cfgs/SM3_KEPLER_TITAN/gpgpusim.config
@@ -0,0 +1,186 @@
+# 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
+
+# SASS execution (only supported with CUDA >= 4.0)
+-gpgpu_ptx_convert_to_ptxplus 0
+-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 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 32 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 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
+-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
+
+# <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
+-gmem_skip_L1D 1
+-icnt_flit_size 40
+-gpgpu_n_cluster_ejection_buffer_size 32
+-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
+-perf_sim_memcpy 1
+-memory_partition_indexing 0
+
+# 4 KB Inst.
+-gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4
+# 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
+
+# memory partition latency config 
+-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
+
+#-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
+-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 e6d8f1d..f8689c2 100644
--- a/configs/tested-cfgs/SM6_TITANX/gpgpusim.config
+++ b/configs/tested-cfgs/SM6_TITANX/gpgpusim.config
@@ -25,7 +25,7 @@
 # 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 
 
@@ -36,12 +36,12 @@
 -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
@@ -49,9 +49,9 @@
 ## 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_pipeline_widths 4,1,0,4,1,4,1,0,4,1,9
+-gpgpu_num_sp_units 4
+-gpgpu_num_sfu_units 4
 -gpgpu_num_dp_units 1
 
 
@@ -74,16 +74,14 @@
 # <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_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
@@ -136,7 +134,7 @@
 
 # interconnection
 -network_mode 1 
--inter_config_file config_fermi_islip.icnt
+-inter_config_file config_pascal_islip.icnt
 
 # memory partition latency config 
 -rop_latency 120
@@ -168,7 +166,7 @@
 #-Write_Queue_Size 64:56:32
 
 # Pascal 102 has four schedulers per core
--gpgpu_num_sched_per_core 2
+-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
diff --git a/configs/tested-cfgs/SM6_TITANX/gpgpusim_old.config b/configs/tested-cfgs/SM6_TITANX/gpgpusim_old.config
new file mode 100644
index 0000000..17ad779
--- /dev/null
+++ b/configs/tested-cfgs/SM6_TITANX/gpgpusim_old.config
@@ -0,0 +1,192 @@
+# This config models the Pascal GP102 (NVIDIA TITAN X)
+# For more info about this card, see Nvidia White paper
+# http://international.download.nvidia.com/geforce-com/international/pdfs/GeForce_GTX_1080_Whitepaper_FINAL.pdf
+
+# functional simulator specification
+-gpgpu_ptx_instruction_classification 0
+-gpgpu_ptx_sim_mode 0
+-gpgpu_ptx_force_max_capability 61 
+-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 6
+-gpgpu_compute_capability_minor 1
+
+# SASS execution (only supported with CUDA >= 4.0)
+-gpgpu_ptx_convert_to_ptxplus 0
+-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 2
+-gpgpu_n_mem 12
+-gpgpu_n_sub_partition_per_mchannel 2 
+
+# Pascal clock domains
+#-gpgpu_clock_domains <Core Clock>:<Interconnect Clock>:<L2 Clock>:<DRAM Clock>
+# Pascal NVIDIA TITAN X clock domains are adopted from 
+# https://en.wikipedia.org/wiki/GeForce_10_series
+-gpgpu_clock_domains 1417.0:1417.0:1417.0:2500.0
+
+# shader core pipeline config
+-gpgpu_shader_registers 32768
+-gpgpu_occupancy_sm_number 62
+
+# This implies a maximum of 32 warps/SM
+-gpgpu_shader_core_pipeline 1024:32 
+-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
+## 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
+
+
+# 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 8,8,8,8,130
+-ptx_opcode_initiation_sfu 4
+-ptx_opcode_latency_sfu 8
+
+
+# latencies and cache configs are adopted from:
+# https://arxiv.org/pdf/1804.06826.pdf
+# <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
+# 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
+-icnt_flit_size 40
+-gpgpu_n_cluster_ejection_buffer_size 32
+-l1_latency 82
+-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_texture_only 0 
+-gpgpu_dram_partition_queues 32:32:32:32
+-perf_sim_memcpy 1
+-memory_partition_indexing 0
+
+# 4 KB Inst.
+-gpgpu_cache:il1 N:8:128:4,L:R:f:N:L,S:2:48,4
+# 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
+
+# interconnection
+-network_mode 1 
+-inter_config_file config_pascal_islip.icnt
+
+# memory partition latency config 
+-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 X, 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
+
+#-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
+
+# 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 Pascal 102
+-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 584ef8d..41aea78 100644
--- a/configs/tested-cfgs/SM7_QV100/gpgpusim.config
+++ b/configs/tested-cfgs/SM7_QV100/gpgpusim.config
@@ -165,7 +165,7 @@
 -gpgpu_dram_burst_length 2
 -dram_data_command_freq_ratio 2  # HBM is DDR
 -gpgpu_mem_address_mask 1
--gpgpu_mem_addr_mapping dramid@6;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCC.CBCSSSSS
+-gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCB.CCCSSSSS
 
 # HBM timing are adopted from hynix JESD235 standered and nVidia HPCA 2017 paper (http://www.cs.utah.edu/~nil/pubs/hpca17.pdf)
 # Timing for 1 GHZ
diff --git a/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config b/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config
index 0d4a812..ba50287 100644
--- a/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config
+++ b/configs/tested-cfgs/SM7_QV100_SASS/gpgpusim.config
@@ -20,7 +20,6 @@
 -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
@@ -166,7 +165,7 @@
 -gpgpu_dram_burst_length 2
 -dram_data_command_freq_ratio 2  # HBM is DDR
 -gpgpu_mem_address_mask 1
--gpgpu_mem_addr_mapping dramid@6;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCC.CBCSSSSS
+-gpgpu_mem_addr_mapping dramid@8;00000000.00000000.00000000.00000000.0000RRRR.RRRRRRRR.RBBBCCCB.CCCSSSSS
 
 # HBM timing are adopted from hynix JESD235 standered and nVidia HPCA 2017 paper (http://www.cs.utah.edu/~nil/pubs/hpca17.pdf)
 # Timing for 1 GHZ
diff --git a/configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt b/configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt
new file mode 100644
index 0000000..dec4789
--- /dev/null
+++ b/configs/tested-cfgs/Turing_RTX2060/config_pascal_islip.icnt
@@ -0,0 +1,73 @@
+//21*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/Turing_RTX2060/gpgpusim.config b/configs/tested-cfgs/Turing_RTX2060/gpgpusim.config
new file mode 100644
index 0000000..ab324d8
--- /dev/null
+++ b/configs/tested-cfgs/Turing_RTX2060/gpgpusim.config
@@ -0,0 +1,186 @@
+# functional simulator specification
+-gpgpu_ptx_instruction_classification 0
+-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)
+-gpgpu_ptx_convert_to_ptxplus 0
+-gpgpu_ptx_save_converted_ptxplus 0
+
+# 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>
+# 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
+
+# shader core pipeline config
+-gpgpu_shader_registers 65536
+-gpgpu_registers_per_block 65536
+-gpgpu_occupancy_sm_number 70
+
+# This implies a maximum of 64 warps/SM
+-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
+## 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
+-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
+# 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
+-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
+
+# <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
+-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
+-gmem_skip_L1D 0
+-icnt_flit_size 40
+-gpgpu_n_cluster_ejection_buffer_size 32
+-l1_latency 20
+-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
+-perf_sim_memcpy 1
+-memory_partition_indexing 0
+
+# 128 KB Inst.
+-gpgpu_cache:il1 N:64:128:16,L:R:f:N:L,S:2:48,4
+# 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
+-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:
+-network_mode 2
+-inct_in_buffer_limit 512
+-inct_out_buffer_limit 512
+-inct_subnets 2
+-arbiter_algo 1
+
+# memory partition latency config 
+-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
+
+# 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  # GDDR6 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 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
+
+#-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
+-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
+