high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Expansion Techniques for Collisionless Stellar Dynamical Simulations

Yohai Meiron, Baile Li, Kelly Holley-Bockelmann, Rainer Spurzem

View

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Laplace and Poisson equation, nVidia, Poisson equation, Tesla K20

June 18, 2014 by hgpu

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

Simon McIntosh-Smith, Michael Boulton, Dan Curran, James Price

View

Tags: CloverLeaf, Fluid dynamics, GPU, Intel Xeon Phi, lattice Boltzmann, OpenCL, performance portability, ROTORSIM, structured grid

June 17, 2014 by simonmcs

A Portable OpenCL Lattice Boltzmann Code for Multi- and Many-core Processor Architectures

Enrico Calore, Sebastiano Fabio Schifano, Raffaele Tripiccione

View

Tags: CUDA, Fluid dynamics, Heterogeneous systems, Intel Xeon Phi, Lattice Boltzmann model, nVidia, OpenCL, Tesla K20

June 17, 2014 by hgpu

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Rui Li, Yue Zheng

View

Tags: 3D Graphics and Realism, Algorithms, Computer science, Hadoop, MapReduce, Raytracing, Rendering

June 17, 2014 by hgpu

A CUDA based Solution to the Multidimensional Knapsack Problem Using the Ant Colony Optimization

Henrique Finglera, Edson N. Caceresa, Henrique Mongellia, Siang W. Songb

View

Tags: Algorithms, Ant colony optimization, Computer science, CUDA, Metaheuristics, nVidia

June 17, 2014 by hgpu

HAM – Heterogenous Active Messages for Efficient Offloading on the Intel Xeon Phi

Matthias Noack

View

Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, MPI

June 17, 2014 by hgpu

GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications

Michelle Perry, Harrison B. Prosper, Anke Meyer-Baese

View

Tags: Bayesian, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Physics, Review

June 17, 2014 by hgpu

Synergia CUDA: GPU-accelerated accelerator modeling package

Q. Lu, J. Amundson

View

Tags: CUDA, FFT, GPU cluster, MPI, nVidia, Package, Particle-in-cell methods, Physics, Tesla C1070, Tesla K20

June 17, 2014 by hgpu

Divide and Conquer G-Buffer Ray Tracing

Daniel Stokes

View

Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 6330 M, Computer science, OpenGL, Raytracing, Thesis

June 16, 2014 by hgpu

An in-depth performance analysis of irregular workloads on VLIW APU

Matthew Doerksen

View

Tags: APU, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance, Thesis

June 16, 2014 by hgpu

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Tord Oygard

View

Tags: Algorithms, ATI, ATI Radeon HD 6470 M, Image processing, Nearest neighbour, OpenCL, Thesis, Ultrasound

June 16, 2014 by hgpu

NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

A. Lonardo, F. Ameli, R. Ammendola, A. Biagioni, O. Frezza, G. Lamanna, F. Lo Cicero, M. Martinelli, P. S. Paolucci, E. Pastorelli, L. Pontisso, D. Rossetti, F. Simeone, F. Simula, M. Sozzi, L. Tosoratto, P. Vicini

View

Tags: CUDA, FPGA, Instrumentation and Detectors, nVidia, Physics, Tesla M2070

June 16, 2014 by hgpu

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

Hardware-Aware FP4 FlashAttention-4

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

See all packages

* * *

* * *

HGPU group © 2010-2026 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: