CUDA中指令回放的其他原因

Question

这是我从nvprof (CUDA 5.5)得到的输出：

Invocations                 Metric Name              Metric Description         Min         Max         Avg
Device "Tesla K40c (0)"
Kernel: MyKernel(double const *, double const *, double*, int, int, int)
     60            inst_replay_overhead     Instruction Replay Overhead    0.736643    0.925197    0.817188
     60          shared_replay_overhead   Shared Memory Replay Overhead    0.000000    0.000000    0.000000
     60          global_replay_overhead   Global Memory Replay Overhead    0.108972    0.108972    0.108972
     60    global_cache_replay_overhead  Global Memory Cache Replay Ove    0.000000    0.000000    0.000000
     60           local_replay_overhead  Local Memory Cache Replay Over    0.000000    0.000000    0.000000
     60                gld_transactions        Global Load Transactions       25000       25000       25000
     60                gst_transactions       Global Store Transactions       75000       75000       75000
     60  warp_nonpred_execution_efficie  Warp Non-Predicated Execution       99.63%      99.63%      99.63%
     60                       cf_issued  Issued Control-Flow Instructio       44911       45265       45101
     60                     cf_executed  Executed Control-Flow Instruct       39533       39533       39533
     60                     ldst_issued  Issued Load/Store Instructions      273117      353930      313341
     60                   ldst_executed  Executed Load/Store Instructio       50016       50016       50016
     60              stall_data_request  Issue Stall Reasons (Data Requ      65.21%      68.93%      67.86%
     60                   inst_executed           Instructions Executed      458686      458686      458686
     60                     inst_issued             Instructions Issued      789220      879145      837129
     60                     issue_slots                     Issue Slots      716816      803393      759614

内核使用356字节的cmem，没有共享内存。此外，没有寄存器溢出。我的问题是，在这种情况下指令回放的原因是什么？我们看到了81%的开销，但这些数字并不相加。

谢谢!

Answer 1

一些可能的原因：

1. 共享内存库冲突(您没有)
2. 常量内存冲突(即，warp中的不同线程从相同的warp代码请求常量内存中的不同位置(if..then..else对warp中的不同线程采用不同的路径)

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