high performance computing on graphics processing units: hgpu.org

Akshay Sridhar, Yassine Tissaoui, Simone Marras, Zhaoyi Shen, Charles Kawczynski, Simon Byrne, Kiran Pamnany, Maciej Waruszewski, Thomas H. Gibson, Jeremy E. Kozdon, Valentin Churavy, Lucas C. Wilcox, Francis X. Giraldo, Tapio Schneider

View

Download (PDF)

Source codes

Tags: CUDA, Earth and Space Sciences, nVidia, Package, Tesla V100, Weather prediction

October 10, 2021 by hgpu

Implementation of Parallel Simplified Swarm Optimization in CUDA

Wei-Chang Yeh, Zhenyao Liu, Shi-Yi Tan, Shang-Ke Huang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 1080, Particle swarm optimization

October 10, 2021 by hgpu

Unified Shader Programming in C++

Kerry A. Seitz Jr., Theresa Foley, Serban D. Porumbescu, John D. Owens

View

Download (PDF)

Tags: Compilers, Computer science, HLSL, nVidia, nVidia Titan RTX, Programming Languages, Programming techniques, Real-time graphics

October 3, 2021 by hgpu

Embedded Software Synthesis using Heterogeneous Dataflow Models

Omair Rafique

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5450, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1050, nVidia GeForce GTX 950 M, OpenCL, Thesis

October 3, 2021 by hgpu

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, Yibo Lin

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, HPC, Machine learning, nVidia, nVidia GeForce GTX 2080, Package

September 26, 2021 by hgpu

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads

Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 2080, SYCL

September 26, 2021 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Accelerating AutoDock VINA with GPUs

Artificial Intelligence in Electric Machine Drives: Advances and Trends

Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure

AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations

GCN Inference Acceleration using High-Level Synthesis

Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs

Implementation of Parallel Simplified Swarm Optimization in CUDA

Unified Shader Programming in C++

Embedded Software Synthesis using Heterogeneous Dataflow Models

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Most viewed papers (last 30 days)