CUDA Math API ▽1. Modules ▷1.1. Half Precision Intrinsics ▽1.2. Bfloat16 Precision Intrinsics 1.2.1. Bfloat16 Arithmetic Functions 1.2.2. Bfloat162 Arithmetic Functions 1.2.3. Bfloat16 Comparison Functions 1.2.4. Bfloat162 Comparison Functions 1.2.5. Bfloat16 Precision Conversion...
CUDA Math API 1. Modules 1.1. FP8 Intrinsics 1.1.1. FP8 Conversion and Data Movement 1.1.2. C++ struct for handling fp8 data type of e5m2 kind. 1.1.3. C++ struct for handling vector type of two fp8 values of e5m2 kind. 1.1.4. C++ struct for handling vector type of four fp8 value...
NVIDIA CUDA Math API 参考手册说明书 vRelease Version | January 2022CUDA Math API API Reference Manual
GPU-accelerated tensor linear algebra library. Learn More cuDSS GPU-accelerated direct sparse solver library. Learn More CUDA Math API GPU-accelerated standard mathematical function APIs. Learn More AmgX GPU-accelerated linear solvers for simulations and implicit unstructured methods. Learn More NVID...
You'll also find code samples, programming guides, user manuals, API references and other documentation to help you get started. Libraries cuRAND NPP Math Library cuFFT nvGRAPH NCCL See More Libraries Tools and Integrations Nsight Visual Profiler CUDA GDB CUDA MemCheck OpenACC CUDA Profiling ...
CUDAMATHAPI v7.0|March2015 APIReferenceManual .nvidia CUDAMathAPIv7.0 | ii TABLEOFCONTENTS Chapter 1. Modules...1 1.1. MathematicalFunctions...1 1.2. SinglePrecisionMathematicalFunctions...
CUDA 12 introduces support for the NVIDIA Hopper™ and Ada Lovelace architectures, Arm® server processors, lazy module and kernel loading, revamped dynamic parallelism APIs, enhancements to the CUDA graphs API, performance-optimized libraries, and new developer tool capabilities. ...
NVIDIACUDAMathAPI参考手册.pdf,NVIDIACUDAMathAPI参考手册|||NVIDIACUDAMathAPI参考手册|||NVIDIACUDAMathAPI参考手册
import math# Example 1.5: 2D kernel@cuda.jitdef adjust_log(inp, gain, out): ix, iy = cuda.grid(2) # The first index is the fastest dimension threads_per_grid_x, threads_per_grid_y = cuda.gridsize(2) # threads per grid dimension n0, n1 = inp.shape # The last inde...
`cuda_fp16.h`定义了一套完整的半精度内在函数,用于算术,比较,转换和数据移动以及其它数学函数。所有这些都在CUDA Math API文档中进行了描述。 在可能的情况下使用“ half2”向量类型和内在函数来实现最高吞吐量。GPU硬件算术指令一次对2个FP16值进行运算,并打包在32位寄存器中。表1中的峰值吞吐率假设为“ half...