diff --git a/xmrstak/backend/nvidia/autoAdjust.hpp b/xmrstak/backend/nvidia/autoAdjust.hpp
index 27783acd10aee5951293a7179d692c0155a02527..2755e03d2f66fbc9668f1b1e2a0d0f3d165d6e91 100644
--- a/xmrstak/backend/nvidia/autoAdjust.hpp
+++ b/xmrstak/backend/nvidia/autoAdjust.hpp
@@ -96,7 +96,7 @@ private:
 					"    \"threads\" : " + std::to_string(ctx.device_threads) + ", \"blocks\" : " + std::to_string(ctx.device_blocks) + ",\n" +
 					"    \"bfactor\" : " + std::to_string(ctx.device_bfactor) + ", \"bsleep\" :  " + std::to_string(ctx.device_bsleep) + ",\n" +
 					"    \"affine_to_cpu\" : false, \"sync_mode\" : 3,\n" +
-					"    \"comp_mode\" : false,\n" +
+					"    \"mem_mode\" : 1,\n" +
 					"  },\n";
 			}
 		}
diff --git a/xmrstak/backend/nvidia/config.tpl b/xmrstak/backend/nvidia/config.tpl
index 8803f6ff20e7af2129419f10534185a567d585de..8a5982b57cb05316e222390ec311ce84a93fcbe4 100644
--- a/xmrstak/backend/nvidia/config.tpl
+++ b/xmrstak/backend/nvidia/config.tpl
@@ -16,9 +16,9 @@ R"===(// generated by XMRSTAK_VERSION
  *                 1 = cudaDeviceScheduleSpin - create a high load on one cpu thread per gpu
  *                 2 = cudaDeviceScheduleYield
  *                 3 = cudaDeviceScheduleBlockingSync (default)
- * comp_mode     - Compatibility if true it will use 64bit memory loads and if false it will use
- *                               256bit memory loads (can produce invalid results)
- *                               (this option has only a meaning for cryptonight_v8 and monero)
+ * mem_mode      - select the memory access pattern (this option has only a meaning for cryptonight_v8 and monero)
+ *                 0 = 64bit memory loads
+ *                 1 = 256bit memory loads   
  *
  * On the first run the miner will look at your system and suggest a basic configuration that will work,
  * you can try to tweak it from there to get the best performance.
@@ -27,7 +27,7 @@ R"===(// generated by XMRSTAK_VERSION
  * "gpu_threads_conf" :
  * [
  *     { "index" : 0, "threads" : 17, "blocks" : 60, "bfactor" : 0, "bsleep" :  0,
- *       "affine_to_cpu" : false, "sync_mode" : 3,
+ *       "affine_to_cpu" : false, "sync_mode" : 3, "mem_mode" : 1
  *     },
  * ],
  * If you do not wish to mine with your nVidia GPU(s) then use:
diff --git a/xmrstak/backend/nvidia/jconf.cpp b/xmrstak/backend/nvidia/jconf.cpp
index b1059f359313b6e165251f6e902aa99bc51cf939..6c443343b91310d9698d9466f241b16018c884e4 100644
--- a/xmrstak/backend/nvidia/jconf.cpp
+++ b/xmrstak/backend/nvidia/jconf.cpp
@@ -123,7 +123,7 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
 	if(!oThdConf.IsObject())
 		return false;
 
-	const Value *gid, *blocks, *threads, *bfactor, *bsleep, *aff, *syncMode, *compMode;
+	const Value *gid, *blocks, *threads, *bfactor, *bsleep, *aff, *syncMode, *memMode;
 	gid = GetObjectMember(oThdConf, "index");
 	blocks = GetObjectMember(oThdConf, "blocks");
 	threads = GetObjectMember(oThdConf, "threads");
@@ -131,11 +131,11 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
 	bsleep = GetObjectMember(oThdConf, "bsleep");
 	aff = GetObjectMember(oThdConf, "affine_to_cpu");
 	syncMode = GetObjectMember(oThdConf, "sync_mode");
-	compMode = GetObjectMember(oThdConf, "comp_mode");
+	memMode = GetObjectMember(oThdConf, "mem_mode");
 
 	if(gid == nullptr || blocks == nullptr || threads == nullptr ||
 		bfactor == nullptr || bsleep == nullptr || aff == nullptr || syncMode == nullptr ||
-		compMode == nullptr)
+		memMode == nullptr)
 	{
 		return false;
 	}
@@ -160,12 +160,15 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
 
 	if(!syncMode->IsNumber() || syncMode->GetInt() < 0 || syncMode->GetInt() > 3)
 	{
-		printer::inst()->print_msg(L0, "Error NVIDIA: sync_mode out of range or no number. ( range: 0 <= sync_mode < 4.)");
+		printer::inst()->print_msg(L0, "Error NVIDIA: sync_mode out of range or not a number. ( range: 0 <= sync_mode < 4.)");
 		return false;
 	}
 
-	if(!compMode->IsBool())
+	if(!memMode->IsNumber() || memMode->GetInt() < 0 || memMode->GetInt() > 1)
+	{
+		printer::inst()->print_msg(L0, "Error NVIDIA: mem_mode out of range or not a number. (range: 0 or 1)");
 		return false;
+	}
 
 
 	cfg.id = gid->GetInt();
@@ -174,7 +177,7 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
 	cfg.bfactor = bfactor->GetInt();
 	cfg.bsleep = bsleep->GetInt();
 	cfg.syncMode = syncMode->GetInt();
-	cfg.compMode = compMode->GetBool();
+	cfg.memMode = memMode->GetInt();
 	
 	if(aff->IsNumber())
 		cfg.cpu_aff = aff->GetInt();
diff --git a/xmrstak/backend/nvidia/jconf.hpp b/xmrstak/backend/nvidia/jconf.hpp
index 5ee1f81339fd2c9d35932c05022a427711f1f477..40b72f880898485058c2775b11afdc9c0dfaff1d 100644
--- a/xmrstak/backend/nvidia/jconf.hpp
+++ b/xmrstak/backend/nvidia/jconf.hpp
@@ -29,7 +29,7 @@ public:
 		bool bNoPrefetch;
 		int32_t cpu_aff;
 		int syncMode;
-		bool compMode;
+		int memMode;
 
 		long long iCpuAff;
 	};
diff --git a/xmrstak/backend/nvidia/minethd.cpp b/xmrstak/backend/nvidia/minethd.cpp
index 135f26ea9768a4bb8cb84546e06b583c2c5a69fc..e82ec91c3d783c3bbc3cc800aada753b45f0b566 100644
--- a/xmrstak/backend/nvidia/minethd.cpp
+++ b/xmrstak/backend/nvidia/minethd.cpp
@@ -78,7 +78,7 @@ minethd::minethd(miner_work& pWork, size_t iNo, const jconf::thd_cfg& cfg)
 	ctx.device_bfactor = (int)cfg.bfactor;
 	ctx.device_bsleep = (int)cfg.bsleep;
 	ctx.syncMode = cfg.syncMode;
-	ctx.compMode = cfg.compMode;
+	ctx.memMode = cfg.memMode;
 	this->affinity = cfg.cpu_aff;
 
 	std::future<void> numa_guard = numa_promise.get_future();
diff --git a/xmrstak/backend/nvidia/nvcc_code/cryptonight.hpp b/xmrstak/backend/nvidia/nvcc_code/cryptonight.hpp
index 8167395e3ec3aa6c5247178e0d337575ae587636..8fda8d401323a185479bc5f2756cac3c5ca71af9 100644
--- a/xmrstak/backend/nvidia/nvcc_code/cryptonight.hpp
+++ b/xmrstak/backend/nvidia/nvcc_code/cryptonight.hpp
@@ -16,7 +16,7 @@ typedef struct {
 	int device_bfactor;
 	int device_bsleep;
 	int syncMode;
-	bool compMode;
+	bool memMode;
 
 	uint32_t *d_input;
 	uint32_t inputlen;
diff --git a/xmrstak/backend/nvidia/nvcc_code/cuda_core.cu b/xmrstak/backend/nvidia/nvcc_code/cuda_core.cu
index 3dce3e4ac08f51648ec1002ee179026afa746eb8..00a65332ad5544a550b5c99e8e77dc473ee5199d 100644
--- a/xmrstak/backend/nvidia/nvcc_code/cuda_core.cu
+++ b/xmrstak/backend/nvidia/nvcc_code/cuda_core.cu
@@ -257,10 +257,10 @@ struct u64 : public uint2
 
 /** cryptonight with two threads per hash
  *
- * @tparam COMP_MODE if true than 64bit memory transfers per thread will be used to store/load data within shared memory
- *                   else 128bit operations will be used
+ * @tparam MEM_MODE if `0` than 64bit memory transfers per thread will be used to store/load data within shared memory
+ *                   else if `1` 256bit operations will be used
  */
-template<size_t ITERATIONS, uint32_t MEMORY, uint32_t MASK, xmrstak_algo ALGO, bool COMP_MODE>
+template<size_t ITERATIONS, uint32_t MEMORY, uint32_t MASK, xmrstak_algo ALGO, uint32_t MEM_MODE>
 #ifdef XMR_STAK_THREADS
 __launch_bounds__( XMR_STAK_THREADS * 2 )
 #endif
@@ -334,7 +334,7 @@ __global__ void cryptonight_core_gpu_phase2_double( int threads, int bfactor, in
 	{
 		ptr0 = (uint64_t *)&l0[idx0 & MASK & 0x1FFFC0];
 
-		if(COMP_MODE)
+		if(MEM_MODE == 0)
 		{
 			#pragma unroll 4
 			for(int x = 0; x < 8; x += 2)
@@ -372,7 +372,7 @@ __global__ void cryptonight_core_gpu_phase2_double( int threads, int bfactor, in
 		}
 
 		myChunks[ idx1 + sub ] = cx_aes ^ bx0;
-		if(COMP_MODE)
+		if(MEM_MODE == 0)
 		{
 			#pragma unroll 4
 			for(int x = 0; x < 8; x += 2)
@@ -387,7 +387,7 @@ __global__ void cryptonight_core_gpu_phase2_double( int threads, int bfactor, in
 		idx1 = (idx0 & 0x30) >> 3;
 		ptr0 = (uint64_t *)&l0[idx0 & MASK & 0x1FFFC0];
 
-		if(COMP_MODE)
+		if(MEM_MODE == 0)
 		{
 			#pragma unroll 4
 			for(int x = 0; x < 8; x += 2)
@@ -452,7 +452,7 @@ __global__ void cryptonight_core_gpu_phase2_double( int threads, int bfactor, in
 			bx0 = cx_aes;
 		}
 		myChunks[ idx1 + sub ] = ax0;
-		if(COMP_MODE)
+		if(MEM_MODE == 0)
 		{
 			#pragma unroll 4
 			for(int x = 0; x < 8; x += 2)
@@ -740,7 +740,7 @@ __global__ void cryptonight_core_gpu_phase3( int threads, int bfactor, int parti
 	MEMCPY8( d_ctx_state + thread * 50 + sub + 16, text, 2 );
 }
 
-template<size_t ITERATIONS, uint32_t MASK, uint32_t MEMORY, xmrstak_algo ALGO, bool COMP_MODE>
+template<size_t ITERATIONS, uint32_t MASK, uint32_t MEMORY, xmrstak_algo ALGO, uint32_t MEM_MODE>
 void cryptonight_core_gpu_hash(nvid_ctx* ctx, uint32_t nonce)
 {
 	dim3 grid( ctx->device_blocks );
@@ -782,7 +782,7 @@ void cryptonight_core_gpu_hash(nvid_ctx* ctx, uint32_t nonce)
 			CUDA_CHECK_MSG_KERNEL(
 				ctx->device_id,
 				"\n**suggestion: Try to increase the value of the attribute 'bfactor' or \nreduce 'threads' in the NVIDIA config file.**",
-				cryptonight_core_gpu_phase2_double<ITERATIONS,MEMORY,MASK,ALGO, COMP_MODE><<<
+				cryptonight_core_gpu_phase2_double<ITERATIONS,MEMORY,MASK,ALGO, MEM_MODE><<<
 					grid,
 					block2,
 					sizeof(uint64_t) * block2.x * 8 +
@@ -855,42 +855,42 @@ void cryptonight_core_cpu_hash(nvid_ctx* ctx, xmrstak_algo miner_algo, uint32_t
 	if(miner_algo == invalid_algo) return;
 	
 	static const cuda_hash_fn func_table[] = {
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_lite, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_lite, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_lite, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_lite, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_heavy, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_heavy, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_heavy, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_heavy, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_aeon, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_aeon, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_aeon, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_aeon, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_ipbc, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_ipbc, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_ipbc, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_LITE_ITER, CRYPTONIGHT_LITE_MASK, CRYPTONIGHT_LITE_MEMORY/4, cryptonight_ipbc, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_stellite, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_stellite, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_stellite, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_stellite, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_MASARI_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_masari, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_MASARI_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_masari, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_MASARI_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_masari, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_MASARI_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_masari, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_haven, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_haven, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_haven, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_haven, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_bittube2, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_bittube2, true>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_bittube2, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_HEAVY_ITER, CRYPTONIGHT_HEAVY_MASK, CRYPTONIGHT_HEAVY_MEMORY/4, cryptonight_bittube2, 1>,
 
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero_v8, false>,
-		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero_v8, true>
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero_v8, 0>,
+		cryptonight_core_gpu_hash<CRYPTONIGHT_ITER, CRYPTONIGHT_MASK, CRYPTONIGHT_MEMORY/4, cryptonight_monero_v8, 1>
 	};
 
 	std::bitset<1> digit;
-	digit.set(0, ctx->compMode);
+	digit.set(0, ctx->memMode == 1);
 
 	cuda_hash_fn selected_function = func_table[ ((miner_algo - 1u) << 1) | digit.to_ulong() ];
 	selected_function(ctx, startNonce);