high performance computing on graphics processing units: hgpu.org

Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, Deep learning, HPC, nVidia, nVidia A40, nVidia H100, OpenMP, Package

September 6, 2023 by hgpu

Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs

Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus

View

Download (PDF)

Tags: Computer science, Fortran, FPGA, HLS, HPC, OpenCL, Performance

September 6, 2023 by hgpu

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon

View

Download (PDF)

Source codes

Tags: AMD Radeon Instinct MI250X, ATI, Code generation, Computer science, HPC, LLVM, nVidia, nVidia V100, OpenMP, Package

September 6, 2023 by hgpu

Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations

Raúl Nozal, Jose Luis Bosque

View

Download (PDF)

Source codes

Tags: AMD Radeon RX 5700 XT, ATI, Computer science, Heterogeneous systems, HPC, Molecular dynamics, OpenCL, OpenMP, Package, performance portability

August 28, 2023 by hgpu

* * *

high performance computing on graphics processing units: hgpu.org

Applying the Midas Touch of Reproducibility to High-Performance Computing

OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations

A Performance-Portable SYCL Implementation of CRK-HACC for Exascale

Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang

Novel Parallelization Strategies for High-Performance DNN Training on HPC Systems

Julia as a unifying end-to-end workflow language on the Frontier exascale system

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview

Scope is all you need: Transforming LLMs for HPC Code

Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)