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Fp32 vs fp64
Fp32 vs fp64












fp32 vs fp64
  1. FP32 VS FP64 PORTABLE
  2. FP32 VS FP64 SOFTWARE

As shown i n T able 2, the standard double precision ( FP64 ) theoretical peak and the FP64 tensor DGEMM peak performance are both at 11.5 TFLOPS.

fp32 vs fp64

In the DGEMM (double - precision GEMM) benchmark, the theoretical peak performance of the AMD MI100 GPU is 11.5 TFLOPS and the measured sustained performance is 7.9 TFLOPS.DGEMM and SGEMM for both AMD MI100 peak and AMD-PCIe sustained The following figure shows the observed numbers of DGEMM and SGEMM:įigure 2. Although GEMM benchmark results might not represent real-world application performance, it is still a good benchmark to demonstrate the performance capability of different GPUs. The results of these tests reflect the performance of an ideal application that only runs matrix multiplication in the form of the peak TFLOPS that the GPU can deliver. The rocblas-bench binary compiled from was used to collect DGEMM and SGEMM results. The GEMM benchmark is a simple, multithreaded dense matrix-to-matrix multiplication benchmark that can be used to test the performance of GEMM on a single GPU. The following table provides the configuration details of the PowerEdge R7525 system under test (SUT): We present results from the general matrix multiplication (GEMM) microbenchmarks, the LAMMPS benchmarks, and the NAMD benchmarks to showcase performance and scalability. This blog focuses on the performance characteristics of a single PowerEdge R7525 server with AMD MI100-32G GPUs.

FP32 VS FP64 PORTABLE

  • Heterogeneous-Computing Interface for Portability ( HIP)-An interface that enables developers to covert CUDA code to portable C++ so that the same source code can run on AMD GPUs.
  • FP32 VS FP64 SOFTWARE

  • AMD ROCm-An Open Software Platform that includes GPU drivers, compilers, profilers, math and communication libraries, and system resource management tools.
  • AMD Compute DNA ( CDNA)-Architecture optimized for compute-oriented workloads.
  • It offers innovations to obtain higher performance for HPC applications with the following key technologies: The AMD Instinct™ MI100 accelerator is one of the world’s fastest HPC GPUs available in the market. The following figure shows the front view of the server:įigure 1. The server supports SATA, SAS, and NVMe drives and up to three double-wide 300 W accelerators. The system is based on the 2nd Gen AMD EPYC processor (up to 64 cores), has up to 32 DIMMs, and has PCI Express (PCIe) 4.0-enabled expansion slots. The server is a two-socket, 2U rack-based server that is designed to run complex workloads using highly scalable memory, I/O capacity, and network options. The Dell EMC PowerEdge R7525 server supports the AMD MI100 GPU Accelerator.














    Fp32 vs fp64