high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications

Foteini Strati, Xianzhe Ma, Ana Klimovic

View

Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia A100, nVidia V100, Package, PyTorch

January 14, 2024 by hgpu

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis

Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin

View

Tags: Computer science, CUDA, Deep learning, Distributed computing, GPU cluster, nVidia, nVidia A100, nVidia P100, nVidia V100, Package, PyTorch

January 14, 2024 by hgpu

Preliminary report: Initial evaluation of StdPar implementations on AMD GPUs for HPC

Wei-Chen Lin, Simon McIntosh-Smith, Tom Deakin

View

Tags: AMD Radeon Instinct MI100, AMD Radeon VII, Computer science, Heterogeneous systems, HIP, nVidia, OpenCL, Performance, SYCL

January 14, 2024 by hgpu

Code Generation for a Variety of Accelerators for a Graph DSL

Ashwina Kumar, M. Venkata Krishna, Prasanna Bartakke, Rahul Kumar, Rajesh Pandian M, Nibedita Behera, Rupesh Nasre

View

Tags: Code generation, Computer science, CUDA, DSL, nVidia, nVidia GeForce RTX 2080 Ti, OpenACC, OpenCL, Package, SYCL, Tesla V100

January 14, 2024 by hgpu

Deep Learning for Obfuscated Code Analysis

Alexander Shroyer

View

Tags: Computer science, CUDA, Deep learning, nVidia, nVidia GeForce RTX 2060, OpenCL, Package, PyTorch, Thesis

January 7, 2024 by hgpu

An Autonomous Data Language

Tom T.P. Franken, Thomas Neele, Jan Friso Groote

View

Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Programming Languages

January 7, 2024 by hgpu

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

View

Tags: Computer science, CUDA, Deep learning, FPGA, nVidia, OpenCL, Security, Tesla T4

January 7, 2024 by hgpu

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Robin Alexander Bijl

View

Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

December 31, 2023 by hgpu

Gaiwan: a Size-Polymorphic Typesystem for GPU Programs

Robbert Gurdeep Singha, Christophe Scholliers

View

Tags: Benchmarking, Computer science, nVidia, nVidia A100, OpenCL, Package, Programming Languages

December 31, 2023 by hgpu

Optimization of Ported CFD Kernels on Intel Data Center GPU Max 1550 using oneAPI ESIMD

Mohammad Zubair, Aaron Walden, Gabriel Nastac, Eric Nielsen, Christoph Bauinger, Xiao Zhu

View

Tags: cfd, CUDA, Fluid dynamics, Intel, Intel Data Center GPU Max 1550, nVidia, nVidia A100, oneAPI, Performance, SYCL

December 31, 2023 by hgpu

Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations

Aristotle Martin, Geng Liu, William Ladd, Seyong Lee, John Gounley, Jeffrey Vetter, Saumil Patel, Silvio Rizzi, Victor Mateevitsi, Joseph Insley, Amanda Randles

View

Tags: AMD Radeon Instinct MI250X, ATI, cfd, CUDA, Fluid dynamics, Heterogeneous systems, HIP, nVidia, nVidia A100, nVidia V100, performance portability, SYCL

December 31, 2023 by hgpu

Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google’s qsim

Stefano Markidis

View

Tags: AMD Radeon Instinct MI250X, Computer science, CUDA, HIP, nVidia, nVidia A100, Quantum computing

December 31, 2023 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: