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Workaround for -m 22100 on NVIDIA
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@ -265,11 +265,35 @@ KERNEL_FQ void m22100_loop (KERN_ATTR_TMPS_ESALT (bitlocker_tmp_t, bitlocker_t))
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{
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#ifdef REAL_SHM
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for (u32 i = lid; i < FIXED_ITER_INCR; i += lsz)
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/**
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* On NVIDIA, the __sync_threads() is not working as expected if called from inside a loop.
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* This is a unique situation across all hashcat kernels so far.
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* From CUDA manual:
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* __syncthreads() is allowed in conditional code but only if the conditional evaluates identically across the entire thread block,
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* otherwise the code execution is likely to hang or produce unintended side effects.
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* NVIDIA OpenCL runtime is also affected, but other OpenCL runtimes work as they should.
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* An workaround exists by disabling shared memory access. Speed drop is around 4%.
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* Another workaround is to let only a single thread do all the work while all other threads wait for it to finish. Speed drop is around 0.05%.
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// original code
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for (int i = lid; i < FIXED_ITER_INCR; i += lsz)
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{
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for (int j = 0; j < 48; j++) // first 16 set to register
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{
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s_wb_ke_pc[i][j] = esalt_bufs[digests_offset].wb_ke_pc[loop_pos + t + i][j];
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}
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}
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*/
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if (lid == 0)
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{
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for (u32 j = 0; j < 48; j++) // first 16 set to register
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for (int i = 0; i < FIXED_ITER_INCR; i++)
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{
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s_wb_ke_pc[i][j] = esalt_bufs[digests_offset].wb_ke_pc[loop_pos + t + i][j];
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for (int j = 0; j < 48; j++) // first 16 set to register
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{
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s_wb_ke_pc[i][j] = esalt_bufs[digests_offset].wb_ke_pc[loop_pos + t + i][j];
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}
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}
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}
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