Optimization TechniquesGPU-BasedParallel Programming ModelsHigh-Performance ComputingThis study embarks on a comprehensive examination of optimization techniques within GPU-based parallel programming models,pivotal for advancing high-performance computing(HPC).Emphasizing the transition of GPUs from gr...
IEEE Trans. Cybernet. (2019) Y. Wang et al. Effective multi-query expansions: collaborative deep networks for robust landmark retrieval IEEE Trans. Image Process. (2017)View more references Cited by (18) Optimization Techniques for GPU Programming 2023, ACM Computing Surveys Research on Improved ...
When writing GPU programs, it is particularly crucial to minimize the amount of redundant work. Naturally, all of the same techniques discussed previously for reducing computational frequency in CPU programs apply to GPU programs as well. But given the nature of GPU programming, each ...
CPU hardware is constantly changing, so is programming languages. This provides an opportunity for developers to optimize compilers. The journey towards better compiler and programming languages has no end. Understanding the underlying workings of computers and programs, mastering hardware utilization, and...
v Chapter 7, "Coding your application to improve performance," on page 53 discusses recommended programming practices and coding techniques to enhance program performance and compatibility with the compiler's optimization capabilities. v Chapter 9, "Using the high performance libraries," on page 81 ...
CUDA 11.2 features the powerful link time optimization (LTO) feature for device code in GPU-accelerated applications. Device LTO brings the performance…
Continuing our series on OpenCL optimization on the Qualcomm® Adreno™ GPU, we describe a multi-step optimization for apps that use the Epsilon filter. We demonstrate that OpenCL optimizations of the Epsilon filter on the GPU are device-specific. You can apply the optimization techniques we...
The talk will cover optimization techniques such as token concatenation, different strategies for batching, and cache. [13:20] Block-based GPU Programming with Triton (Philippe Tillet @ OpenAI) Philippe is currently leading the Triton team at OpenAI. Previously, he was at pretty much all major ...
The most important techniques provided by DeepSpeed are as follows:1. QuantizationQuantization trains model weights at a lower precision than 32-bit floating point (FP32)—for instance, 16-bit floating point (FP16), or even 8-bit integers. This yields enormous amounts of savings both in ...
iOS 官方文档 专题内容比较多,后面细分内容会有部分重复。 Performance 专题 Core Animation Programming Guide Pro iOS Apps Performance Optimization High Performance iOS Apps iOS-Core-Animation-Advanced-Techniques Instruments User Guide中文翻译-PDF Instruments之Leaks学习 ...