high performance computing on graphics processing units: hgpu.org

Lauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Wellington Santos Martins, Arlindo Rodrigues Galvao Filho, Clarimar Jose Coelho

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

December 8, 2013 by hgpu

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Julian Lamas-Rodriguez, Francisco Arguello, Dora B. Heras

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Visualization

December 8, 2013 by hgpu

Waste Not… Efficient Co-Processing of Relational Data

Holger Pirk, Stefan Manegold, Martin Kersten

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 680, OpenCL

December 8, 2013 by hgpu

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

Alexander Schluter, Adrian Willenbucher, Charlotte Kuhn

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Tags: Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2075

December 8, 2013 by hgpu

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

Nam-Luc Tran, Quentin Dugauthier, Sabri Skhiri

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Tags: Clustering, Computer science, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, Tesla K20

December 6, 2013 by hgpu

A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

Erik Hansson, Erik Alnervik, Christoph Kessler, Martti Forsell

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

December 6, 2013 by hgpu

Parallel tree-ensemble algorithms for GPUs using CUDA

Karl Jansson, Hakan Sundell, Henrik Bostrom

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla K20

December 6, 2013 by hgpu

Speeding up the small progress measures algorithm for parity games using the GPU

P.J.A. Bootsma

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GT 555 M, nVidia GeForce GTX 660 Ti, Thesis

December 6, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

A Performance Portable Matrix Free Dense MTTKRP in GenTen

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

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

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

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

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

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Applications

The Comparisons of OpenCL and OpenMP Computing Paradigm

Locality Analysis for Characterizing Applications Based on Sparse Matrices

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Advanced ultrasound beam forming using GPGPU technology

Partial Parallelization of the Successive Projections Algorithm using Compute Unified Device Architecture

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Waste Not… Efficient Co-Processing of Relational Data

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

Parallel tree-ensemble algorithms for GPUs using CUDA

Speeding up the small progress measures algorithm for parity games using the GPU

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)