high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

Leonardo Bottolo, Marc Chadeau-Hyam, David I. Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S. Wild, Arne Schillert, Andreas Ziegler, Sune F. Nielsen, Adam S. Butterworth, Weang Kee Ho, Raphaele Castagne, Thomas Munzel, David Tregouet, Mario Falchi15, Francois Cambien, Borge G. Nordestgaard, Frederic Fumeron, Anne Tybjaerg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

View

Tags: Algorithms, Bayesian, Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C1060

August 16, 2013 by hgpu

Parallel Gravitation Field Algorithm Based on the CUDA Platform

Guang Rong, Guixia Liu, Ming Zheng, An Sun, Yuan Tian, Han Wang

View

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 440, Search

August 15, 2013 by hgpu

General Transformations for GPU Execution of Tree Traversals

Michael Goldfarb, Youngjoon Jo, Milind Kulkarni

View

Tags: Algorithms, Compilers, Computer science, CUDA, KD-tree, nVidia, Performance, Tesla C2070

August 15, 2013 by hgpu

Programming Dense Linear Algebra Kernels on Vectorized Architectures

Jonathan Lawrence Peyton

View

Tags: Algorithms, Computer science, Intel Phi, Linear Algebra, Thesis

August 15, 2013 by hgpu

First experiences with the Intel MIC architecture at LRZ

Volker Weinberg, Momme Allalen

View

Tags: Computer science, Intel, Intel Phi, OpenMP, Performance

August 15, 2013 by hgpu

Detecting Data Races on OpenCL Kernels with Symbolic Execution

Dino Distefano, Jeremy Dubreil

View

Tags: Computer science, OpenCL, Programming Languages

August 15, 2013 by hgpu

Lattice Boltzmann Method for Simulating Turbulent Flows

Yusuke Koda

View

Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla M2070, Thesis

August 14, 2013 by hgpu

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Yuan Yuan, Rubao Lee, Xiaodong Zhang

View

Tags: Analytical model, ATI, ATI Radeon HD 7970, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package

August 14, 2013 by hgpu

GPU Acceleration of a Basket Option Pricing Engine

Sean Trainor, Danny Crookes

View

Tags: Algorithms, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 670, OpenCL

August 14, 2013 by hgpu

A Haptic Device Interface for Medical Simulations using OpenCL

Mattias Machwirth

View

Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 7610 M, ATI Radeon HD 7970, Medicine, OpenCL, Thesis, Ultrasound, Visualization

August 14, 2013 by hgpu

An Automated Video Surveillance System Using Viewpoint Feature Histogram and CUDA-enabled GPUs

Saurabh Jha, Priyank Trivedi

View

Tags: Computer science, Computer vision, CUDA, nVidia, Tesla M2050

August 14, 2013 by hgpu

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Lars Schor, Andreas Tretter, Tobias Scherer, Lothar Thiele

View

Tags: ATI, ATI Radeon HD 7750, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 670, nVidia Quadro K 2000 M, OpenCL, Task scheduling

August 13, 2013 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: