64个双精度(Double-Precision,DP)单元, 32特殊功能单元(SFU)和32个LD/ST(load/store)单元,满足高性能计算场景的实际需求。 Kepler架构改进 Kepler架构支持动态并行(Dynnamic Parallelism),在不需要CPU支持的情况下自动同步,在程序执行过程中灵活动态地提供并行数量和形式。Hyper-Q使多个CPU核使用单个GPU执行工作,提高G...
GPU Compute M 是 NVIDIA GPU 的一种计算模式,用于进行通用计算任务。具体来说,GPU Compute M 包含了不同的计算模式,包括以下几种常见的模式: Single Precision (FP32):单精度浮点数计算模式,使用 32 位浮点数进行计算。这是大多数通用计算任务中常用的模式。 Double Precision (FP64):双精度浮点数计算模式,使...
stable diffusion Ai绘画;来自RTX2080显卡,1024*1024分辨率,单张耗时:1.14分钟 第一道题是Single-Precision,这个测试项目评估显卡在单精度浮点数运算(32位浮点数)上的性能,单精度浮点数通常用于表示小数,以GFLOPS为单位,其表示每秒千亿次浮点运算。 第二道题是Double-Precision,评估显卡处理另一种称为"双精度浮点数"的...
5.3 TFLOPS of double precision floating point (FP64) performance 10.6 TFLOPS of single precision (FP32) performance 21.2 TFLOPS of half-precision (FP16) performance 浮点计算性能是GPU领域很重要的性能指标, Nv官方也给出了P100的官方指标。 此外在最近几代产品中,Nv都宣称了GPU在深度学习...
NVIDIA GPU Tensor Cores enable scientists and engineers to dramatically accelerate suitable algorithms using mixed precision or double precision. The NVIDIA HPC SDK math libraries are optimized for Tensor Cores and multi-GPU nodes to deliver the full performance potential of your system with minimal cod...
Like Maxwell, each GP104 SM provides four warp schedulers managing a total of 128 single-precision (FP32) and four double-precision (FP64) cores. A GP104 processor provides up to 20 SMs, and the similar GP102 design provides up to 30 SMs.By contrast GP100 provides smaller but more num...
RTX GPU have very poor double precision (fp64) performance compared to compute GPUs. The single precision (fp32) performance is however excellent on RTX. There is a fp32 version of this benchmark named HPL-AI. Unfortunately I could not get it to properly converge with 1 or 2 RTX 4...
Imagine that you have eight registers to spare for prefetching. This is a tuning parameter. The following code fetches four double-precision values occupying eight 4-byte registers at the start of each fourth iteration and uses them one by one, until the batch is depleted, at which time you...
5.3 teraflops double-precision performance, 10.6 teraflops single-precision performance and 21.2 teraflops half-precision performance with NVIDIA GPU BOOST™ technology 160GB/sec bi-directional interconnect bandwidth with NVIDIA NVLink 16GB of CoWoS HBM2 stacked memory ...
Pascal is the most powerful compute architecture ever built inside a GPU. It transforms a computer into a supercomputer that delivers unprecedented performance, including over 5 teraflops of double precision performance for HPC workloads. For deep learning, a Pascal-powered system offers over 12X lea...