970 memory allocation issue revisited

Discussion in 'Videocards - NVIDIA GeForce' started by alanm, Jan 23, 2015.

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  1. alanm

    alanm Ancient Guru

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    Headless mode, same big drop on chunk 25 as nanogenesis.

    [​IMG]
     
  2. palvo23

    palvo23 Member

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    So, all these bench means that the card will suffer serious performance drop if using any more than 3200MB-ish VRAM as of now?
     
  3. Loophole35

    Loophole35 Ancient Guru

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    Anvil is notorious for AA causing all kinds of issues with frame rates. If I ran MSAA in black flag it would load up one core on my cpu and cripple the frames but if I used TXAA I would get a constant 60FPS and an more even load on the cpu.
     
  4. Fox2232

    Fox2232 Ancient Guru

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    So, this modification should create and bench on 64MB blocks:
    Code:
        #include "cuda_runtime.h"
        #include "device_launch_parameters.h"
        #include "helper_math.h"
        #include <stdio.h>
        #include <iostream>
        #define CacheCount 5
        __global__ void BenchMarkDRAMKernel(float4* In, int Float4Count)
        {
        int ThreadID = (blockDim.x *blockIdx.x + threadIdx.x) % Float4Count;
         
        float4 Temp = make_float4(1);
         
        Temp += In[ThreadID];
         
        if (length(Temp) == -12354)
        In[0] = Temp;
         
        }
         
         
        __global__ void BenchMarkCacheKernel(float4* In, int Zero,int Float4Count)
        {
        int ThreadID = (blockDim.x *blockIdx.x + threadIdx.x) % Float4Count;
         
        float4 Temp = make_float4(1);
         
        #pragma unroll
        for (int i = 0; i < CacheCount; i++)
        {
        Temp += In[ThreadID + i*Zero];
        }
         
        if (length(Temp) == -12354)
        In[0] = Temp;
         
        }
         
         
         
        int main()
        {
        static const int PointerCount = 5000;
         
        int Float4Count = 4 * 1024 * 1024;
        int ChunkSize = Float4Count*sizeof(float4);
        int ChunkSizeMB = (ChunkSize / 1024) / 1024;
        float4* Pointers[PointerCount];
        int UsedPointers = 0;
        printf("Nai's Benchmark \n");
        printf("Allocating Memory . . . \nChunk Size: %i MiByte \n", ChunkSizeMB);
         
        while (true)
        {
         
        int Error = cudaMalloc(&Pointers[UsedPointers], ChunkSize);
         
        if (Error == cudaErrorMemoryAllocation)
        break;
         
        cudaMemset(Pointers[UsedPointers], 0, ChunkSize);
        UsedPointers++;
        }
         
         
        printf("Allocated %i Chunks \n", UsedPointers);
         
        printf("Allocated %i MiByte \n", ChunkSizeMB*UsedPointers);
         
        cudaEvent_t start, stop;
        cudaEventCreate(&start);
        cudaEventCreate(&stop);
         
        int BlockSize = 64;
         
         
        int BenchmarkCount = 30;
        int BlockCount = BenchmarkCount * Float4Count / BlockSize;
         
        printf("Benchmarking DRAM \n");
         
        for (int i = 0; i < UsedPointers; i++)
        {
        cudaEventRecord(start);
         
        BenchMarkDRAMKernel << <BlockCount, BlockSize >> >(Pointers[i], Float4Count);
         
        cudaEventRecord(stop);
        cudaEventSynchronize(stop);
         
        float milliseconds = 0;
        cudaEventElapsedTime(&milliseconds, start, stop);
         
        float Bandwidth = ((float)(BenchmarkCount)* (float)(ChunkSize)) / milliseconds / 1000.f / 1000.f;
        printf("DRAM-Bandwidth of Chunk no. %i (%i MiByte to %i MiByte):%5.2f GByte/s \n", i, ChunkSizeMB*i, ChunkSizeMB*(i + 1), Bandwidth);
        }
         
         
         
        printf("Benchmarking L2-Cache \n");
         
         
         
        for (int i = 0; i < UsedPointers; i++)
        {
        cudaEventRecord(start);
         
        BenchMarkCacheKernel << <BlockCount, BlockSize >> >(Pointers[i], 0, Float4Count);
         
        cudaEventRecord(stop);
        cudaEventSynchronize(stop);
         
        float milliseconds = 0;
        cudaEventElapsedTime(&milliseconds, start, stop);
         
        float Bandwidth = (((float)CacheCount* (float)BenchmarkCount * (float)ChunkSize)) / milliseconds / 1000.f / 1000.f;
        printf("L2-Cache-Bandwidth of Chunk no. %i (%i MiByte to %i MiByte):%5.2f GByte/s \n", i, ChunkSizeMB*i, ChunkSizeMB*(i + 1), Bandwidth);
        }
         
         
        system("pause");
         
        cudaDeviceSynchronize();
        cudaDeviceReset();
        return 0;
        }
    This version should allocate exactly 3GB and no more. Or stop if there is not enough to allocate.
    Code:
        #include "cuda_runtime.h"
        #include "device_launch_parameters.h"
        #include "helper_math.h"
        #include <stdio.h>
        #include <iostream>
        #define CacheCount 5
        __global__ void BenchMarkDRAMKernel(float4* In, int Float4Count)
        {
        int ThreadID = (blockDim.x *blockIdx.x + threadIdx.x) % Float4Count;
         
        float4 Temp = make_float4(1);
         
        Temp += In[ThreadID];
         
        if (length(Temp) == -12354)
        In[0] = Temp;
         
        }
         
         
        __global__ void BenchMarkCacheKernel(float4* In, int Zero,int Float4Count)
        {
        int ThreadID = (blockDim.x *blockIdx.x + threadIdx.x) % Float4Count;
         
        float4 Temp = make_float4(1);
         
        #pragma unroll
        for (int i = 0; i < CacheCount; i++)
        {
        Temp += In[ThreadID + i*Zero];
        }
         
        if (length(Temp) == -12354)
        In[0] = Temp;
         
        }
         
         
         
        int main()
        {
        static const int PointerCount = 5000;
         
        int Float4Count = 8 * 1024 * 1024;
        int ChunkSize = Float4Count*sizeof(float4);
        int ChunkSizeMB = (ChunkSize / 1024) / 1024;
        float4* Pointers[PointerCount];
        int UsedPointers = 0;
        printf("Nai's Benchmark \n");
        printf("Allocating Memory . . . \nChunk Size: %i MiByte \n", ChunkSizeMB);
         
        while (UsedPointers < 24)
        {
         
        int Error = cudaMalloc(&Pointers[UsedPointers], ChunkSize);
         
        if (Error == cudaErrorMemoryAllocation)
        break;
         
        cudaMemset(Pointers[UsedPointers], 0, ChunkSize);
        UsedPointers++;
        }
         
         
        printf("Allocated %i Chunks \n", UsedPointers);
         
        printf("Allocated %i MiByte \n", ChunkSizeMB*UsedPointers);
         
        cudaEvent_t start, stop;
        cudaEventCreate(&start);
        cudaEventCreate(&stop);
         
        int BlockSize = 128;
         
         
        int BenchmarkCount = 30;
        int BlockCount = BenchmarkCount * Float4Count / BlockSize;
         
        printf("Benchmarking DRAM \n");
         
        for (int i = 0; i < UsedPointers; i++)
        {
        cudaEventRecord(start);
         
        BenchMarkDRAMKernel << <BlockCount, BlockSize >> >(Pointers[i], Float4Count);
         
        cudaEventRecord(stop);
        cudaEventSynchronize(stop);
         
        float milliseconds = 0;
        cudaEventElapsedTime(&milliseconds, start, stop);
         
        float Bandwidth = ((float)(BenchmarkCount)* (float)(ChunkSize)) / milliseconds / 1000.f / 1000.f;
        printf("DRAM-Bandwidth of Chunk no. %i (%i MiByte to %i MiByte):%5.2f GByte/s \n", i, ChunkSizeMB*i, ChunkSizeMB*(i + 1), Bandwidth);
        }
         
         
         
        printf("Benchmarking L2-Cache \n");
         
         
         
        for (int i = 0; i < UsedPointers; i++)
        {
        cudaEventRecord(start);
         
        BenchMarkCacheKernel << <BlockCount, BlockSize >> >(Pointers[i], 0, Float4Count);
         
        cudaEventRecord(stop);
        cudaEventSynchronize(stop);
         
        float milliseconds = 0;
        cudaEventElapsedTime(&milliseconds, start, stop);
         
        float Bandwidth = (((float)CacheCount* (float)BenchmarkCount * (float)ChunkSize)) / milliseconds / 1000.f / 1000.f;
        printf("L2-Cache-Bandwidth of Chunk no. %i (%i MiByte to %i MiByte):%5.2f GByte/s \n", i, ChunkSizeMB*i, ChunkSizeMB*(i + 1), Bandwidth);
        }
         
         
        system("pause");
         
        cudaDeviceSynchronize();
        cudaDeviceReset();
        return 0;
        }
    Try to run 3GB version, check if 3GB are taken and if so, launch some smaller game. If not, run one bench on check if it stays allocated after bench, since I am not sure if regions get freed.
     

  5. Öhr

    Öhr Master Guru

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    for some reason, nai's benchmark crashes for me when processing the last two L2-Cache-Bandwidth Chunks #28 and #29:
    Code:
    Nai's Benchmark
    Allocating Memory . . .
    Chunk Size: 128 MiByte
    Allocated 30 Chunks
    Allocated 3840 MiByte
    Benchmarking DRAM
    DRAM-Bandwidth of Chunk no. 0 (0 MiByte to 128 MiByte):148.57 GByte/s
    DRAM-Bandwidth of Chunk no. 23 (2944 MiByte to 3072 MiByte):150.48 GByte/s
    DRAM-Bandwidth of Chunk no. 24 (3072 MiByte to 3200 MiByte):33.52 GByte/s
    DRAM-Bandwidth of Chunk no. 25 (3200 MiByte to 3328 MiByte):22.35 GByte/s
    DRAM-Bandwidth of Chunk no. 26 (3328 MiByte to 3456 MiByte):22.35 GByte/s
    DRAM-Bandwidth of Chunk no. 27 (3456 MiByte to 3584 MiByte):22.35 GByte/s
    DRAM-Bandwidth of Chunk no. 28 (3584 MiByte to 3712 MiByte): 7.89 GByte/s
    DRAM-Bandwidth of Chunk no. 29 (3712 MiByte to 3840 MiByte): 8.44 GByte/s
    Benchmarking L2-Cache
    L2-Cache-Bandwidth of Chunk no. 0 (0 MiByte to 128 MiByte):418.70 GByte/s
    L2-Cache-Bandwidth of Chunk no. 23 (2944 MiByte to 3072 MiByte):418.72 GByte/s
    L2-Cache-Bandwidth of Chunk no. 24 (3072 MiByte to 3200 MiByte):111.02 GByte/s
    L2-Cache-Bandwidth of Chunk no. 25 (3200 MiByte to 3328 MiByte):75.46 GByte/s
    L2-Cache-Bandwidth of Chunk no. 26 (3328 MiByte to 3456 MiByte):75.46 GByte/s
    L2-Cache-Bandwidth of Chunk no. 27 (3456 MiByte to 3584 MiByte):75.46 GByte/s
    [B]L2-Cache-Bandwidth of Chunk no. 28 (3584 MiByte to 3712 MiByte): 1.#J GByte/s
    L2-Cache-Bandwidth of Chunk no. 29 (3712 MiByte to 3840 MiByte): 1.#J GByte/s[/B]
    Tried 344.16 and 347.09. 347.09 never completed for me and 344.16 crashed four out of five times. is this "normal" as well?
     
  6. nanogenesis

    nanogenesis Maha Guru

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    Well, seeing a post at OCN, I have a request.

    Let us assume, the issue is because how closely connected Maxwell architecture is, and cutting the TMUs/SSMs caused this issue. There are currently 3 other 'cut' SKUs of the GM204 chip which should show the issue.

    GTX980 = 128TMUs = 4096 = 4096MB
    GTX970 = 104TMUs = 4096/128*104 = 3328MB (nearly where bandwidth drops off)
    GTX980M = 96TMUs = 3072MB
    GTX970M = 80TMUs = 2560MB
    GTX965M = 64TMUs = 2048MB (though this may not show an issue depending on how memory is mapped)

    The Nai benchmark on 4gb 980m should show a drop in bandwidth for the entire last gb, and in 3gb 970M case, the last 3-4 chunks should. If it does not, then this really is a driver issue. Can someone test this?

    The plus point is, the laptops have primary gpus as the igpu so they are infact running headless already (sort of).
     
  7. FarCryDX

    FarCryDX Member

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    I'll run this bench when I get home and see what my results are, though I'm sure they'll be in line with everyone elses 970.
     
  8. Öhr

    Öhr Master Guru

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    I just tested it with my Laptop that runs a 850M (4GB and 40 TMUs): Not affected. Though the 850M and 860M were the first Maxwell iteration, so things must have change drastically from this to the 900-series...
     
  9. nanogenesis

    nanogenesis Maha Guru

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    @Ohr

    Can you post the results here please?

    Edit:
    The 850M is the full GM107 chip, 640:40:16, so its just a desktop 750Ti with gimped memory speeds, good to know it doesn't have any issues.

    If first gen maxwell has this issue, the a GTX750 with 32TMUs, would show drops in bandwidth after 1638MB of memory, last 3 chunks.

    The GTX660 probably has this issue too because of the 192bit memory bus with 2gb memory. (Can someone post the GTX660 results here for reference?)
     
    Last edited: Jan 23, 2015
  10. alanm

    alanm Ancient Guru

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    This is from a 980m, it does not have a problem. Despite having the same no. of SMMs as the 970.

    [​IMG]

    https://forums.geforce.com/default/...king-with-347-09-347-25/post/4430922/#4430922
     

  11. Öhr

    Öhr Master Guru

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    Sure thing:

    850M with 4GB of Hynix DDR3 VRAM
    Code:
    Nai's Benchmark 
    Allocating Memory . . . 
    Chunk Size: 128 MiByte  
    Allocated 31 Chunks 
    Allocated 3968 MiByte 
    Benchmarking DRAM 
    DRAM-Bandwidth of Chunk no. 0 (0 MiByte to 128 MiByte):30.07 GByte/s 
    DRAM-Bandwidth of Chunk no. 1 (128 MiByte to 256 MiByte):30.11 GByte/s 
    DRAM-Bandwidth of Chunk no. 2 (256 MiByte to 384 MiByte):30.14 GByte/s 
    DRAM-Bandwidth of Chunk no. 3 (384 MiByte to 512 MiByte):30.11 GByte/s 
    DRAM-Bandwidth of Chunk no. 4 (512 MiByte to 640 MiByte):30.08 GByte/s 
    DRAM-Bandwidth of Chunk no. 5 (640 MiByte to 768 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 6 (768 MiByte to 896 MiByte):30.14 GByte/s 
    DRAM-Bandwidth of Chunk no. 7 (896 MiByte to 1024 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 8 (1024 MiByte to 1152 MiByte):30.14 GByte/s 
    DRAM-Bandwidth of Chunk no. 9 (1152 MiByte to 1280 MiByte):30.14 GByte/s 
    DRAM-Bandwidth of Chunk no. 10 (1280 MiByte to 1408 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 11 (1408 MiByte to 1536 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 12 (1536 MiByte to 1664 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 13 (1664 MiByte to 1792 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 14 (1792 MiByte to 1920 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 15 (1920 MiByte to 2048 MiByte):30.14 GByte/s 
    DRAM-Bandwidth of Chunk no. 16 (2048 MiByte to 2176 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 17 (2176 MiByte to 2304 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 18 (2304 MiByte to 2432 MiByte):30.11 GByte/s 
    DRAM-Bandwidth of Chunk no. 19 (2432 MiByte to 2560 MiByte):30.11 GByte/s 
    DRAM-Bandwidth of Chunk no. 20 (2560 MiByte to 2688 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 21 (2688 MiByte to 2816 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 22 (2816 MiByte to 2944 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 23 (2944 MiByte to 3072 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 24 (3072 MiByte to 3200 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 25 (3200 MiByte to 3328 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 26 (3328 MiByte to 3456 MiByte):30.12 GByte/s 
    DRAM-Bandwidth of Chunk no. 27 (3456 MiByte to 3584 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 28 (3584 MiByte to 3712 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 29 (3712 MiByte to 3840 MiByte):30.13 GByte/s 
    DRAM-Bandwidth of Chunk no. 30 (3840 MiByte to 3968 MiByte):30.12 GByte/s 
    Benchmarking L2-Cache 
    L2-Cache-Bandwidth of Chunk no. 0 (0 MiByte to 128 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 1 (128 MiByte to 256 MiByte):151.21 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 2 (256 MiByte to 384 MiByte):151.27 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 3 (384 MiByte to 512 MiByte):151.29 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 4 (512 MiByte to 640 MiByte):151.26 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 5 (640 MiByte to 768 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 6 (768 MiByte to 896 MiByte):151.20 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 7 (896 MiByte to 1024 MiByte):151.30 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 8 (1024 MiByte to 1152 MiByte):151.21 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 9 (1152 MiByte to 1280 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 10 (1280 MiByte to 1408 MiByte):151.27 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 11 (1408 MiByte to 1536 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 12 (1536 MiByte to 1664 MiByte):151.27 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 13 (1664 MiByte to 1792 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 14 (1792 MiByte to 1920 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 15 (1920 MiByte to 2048 MiByte):151.28 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 16 (2048 MiByte to 2176 MiByte):151.29 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 17 (2176 MiByte to 2304 MiByte):151.20 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 18 (2304 MiByte to 2432 MiByte):151.29 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 19 (2432 MiByte to 2560 MiByte):151.23 GByte/s 
    L2-Cache-Bandwidth of Chunk no. 20 (2560 MiByte to 2688 MiByte):151.29 GByte/s
    I'd like to see a 830M or 840M as well, though those tend to come with 2GB VRAM. 4GB for a 850M is already not that common afaik...
     
  12. nanogenesis

    nanogenesis Maha Guru

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    Thank you Ohr and alanm for the results!
     
  13. FDisk

    FDisk Master Guru

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    Last edited: Jan 23, 2015
  14. Cakefish

    Cakefish New Member

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    I hope this is resolved for you guys and gals ASAP. I hope it is a software issue only.

    My post count is too low to post my benchmark result but the issue doesn't seem to be affecting my GTX 980M 4GB.

    EDIT: I see my result has been posted by the user above :)
     
  15. nanogenesis

    nanogenesis Maha Guru

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    Thanks for running the bench. I hope a GTX970M user also somewhere can run the bench.

    It feels very strange why only one SKU of the the GM204, the GTX970 has this issue.
     

  16. CPC_RedDawn

    CPC_RedDawn Ancient Guru

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    Any word from Nvidia on this issue?

    Could this be fixed with a BIOS flash?

    Don't think it can fixed with a driver as it seems hardware related due to some parts of the GPU being disabled.
     
  17. nanogenesis

    nanogenesis Maha Guru

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    Yes, at the nvidia forums, manuelG has said they are still looking into it and will have an update ASAP.

    The GTX980M results posted show it may not because of hardware parts disabled.
     
  18. FDisk

    FDisk Master Guru

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    Here is another test of GTX970 vs GTX980 from computerbase forum. Find the 970. :leave:

    [​IMG]
     
  19. CPC_RedDawn

    CPC_RedDawn Ancient Guru

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    Great, I will keep looking back here then to see if they release any fixes or updates.

    Also, I hope so too, I would hate to have to replace my hardware or be limited into what my hardware can REALLY do.

    Hope this gets resolved quickly.
     
  20. VultureX

    VultureX Banned

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    Thanks, I missed that.

    Can't get it to work properly, though. The code compiles, but does something different when I compile and run it. It looks like the kernels are not being run properly on my end. The program finishes before it has even started. I don't know why this happens atm.

    EDIT:
    I do know now: BlockCount must be smaller than 65536 or the kernels won't launch. So I wonder how the creator managed to get that working anyway.
     
    Last edited: Jan 23, 2015
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