Merge pull request #1109 from psychocrypt/fix-memChunk

fix broken memchunk feature

xmrstak/backend/amd/amd_gpu/gpu.cpp

@@ -336,7 +336,7 @@ size_t InitOpenCLGpu(cl_context opencl_ctx, GpuContext* ctx, const char* source_
 
 	char options[256];
 	snprintf(options, sizeof(options), 
-		"-DITERATIONS=%d -DMASK=%d -DWORKSIZE=%llu -DSTRIDED_INDEX=%d -DMEM_CHUNK=%d  -DCOMP_MODE=%d",
+		"-DITERATIONS=%d -DMASK=%d -DWORKSIZE=%llu -DSTRIDED_INDEX=%d -DMEM_CHUNK_EXPONENT=%d  -DCOMP_MODE=%d",
 		hasIterations, threadMemMask, int_port(ctx->workSize), ctx->stridedIndex, int(1u<<ctx->memChunk), ctx->compMode ? 1 : 0);
 	ret = clBuildProgram(ctx->Program, 1, &ctx->DeviceID, options, NULL, NULL);
 	if(ret != CL_SUCCESS)

xmrstak/backend/amd/amd_gpu/opencl/cryptonight.cl

@@ -416,7 +416,7 @@ void AESExpandKey256(uint *keybuf)
 	}
 }
 
-#define MEM_CHUNK (1<<4)
+#define MEM_CHUNK (1<<MEM_CHUNK_EXPONENT)
 
 #if(STRIDED_INDEX==0)
 #   define IDX(x)	(x)

xmrstak/backend/amd/autoAdjust.hpp

@@ -143,7 +143,7 @@ private:
 				// set 8 threads per block (this is a good value for the most gpus)
 				conf += std::string("  { \"index\" : ") + std::to_string(ctx.deviceIdx) + ",\n" +
 					"    \"intensity\" : " + std::to_string(intensity) + ", \"worksize\" : " + std::to_string(8) + ",\n" +
-					"    \"affine_to_cpu\" : false, \"strided_index\" : 1, \"mem_chunk\" : 4,\n"
+					"    \"affine_to_cpu\" : false, \"strided_index\" : 1, \"mem_chunk\" : 2,\n"
 					"    \"comp_mode\" : true\n" +
 					"  },\n";
 			}

xmrstak/backend/amd/config.tpl

@@ -19,7 +19,7 @@ R"===(
  *                 in this case set the intensity to a multiple of the worksize or activate comp_mode.
  * "gpu_threads_conf" :
  * [
- *	{ "index" : 0, "intensity" : 1000, "worksize" : 8, "affine_to_cpu" : false, "strided_index" : true, "mem_chunk" : 4, "comp_mode" : true },
+ *	{ "index" : 0, "intensity" : 1000, "worksize" : 8, "affine_to_cpu" : false, "strided_index" : true, "mem_chunk" : 2, "comp_mode" : true },
  * ],
  * If you do not wish to mine with your AMD GPU(s) then use:
  * "gpu_threads_conf" :