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+# 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
+