high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

Rodinia: A benchmark suite for heterogeneous computing

Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Jeremy W. Sheaffer, Sang-Ha Lee, Kevin Skadron

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenMP

November 19, 2010 by hgpu

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard Vuduc

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Tags: Computer science, CUDA, Fast multipole method, MPI, nVidia, OpenMP, Performance, Tesla S1070

November 19, 2010 by hgpu

Design and Performance Evaluation of Image Processing Algorithms on GPUs

In K. Park, Nitin Singhal, Man H. Lee, Sungdae Cho, Chris Kim

Tags: Computer vision, CUDA, Image processing, nVidia, OpenMP

November 19, 2010 by hgpu

Multi-dimensional characterization of temporal data mining on graphics processors

J. Archuleta, Yong Cao, T. Scogland, Wu-Chun Feng

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

November 19, 2010 by hgpu

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Lars Jensen, Anders Kjaer-Nielsen, Karl Pauwels, Jeppe Jessen, Marc Van Hulle, Norbert Kruger

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, OpenMP

November 19, 2010 by hgpu

From Rendering to Tracking Point-based 3D Models

Christophe Dehais, Geraldine Morin, Vincent Charvillat

Tags: Computer science, Computer vision

November 18, 2010 by hgpu

Parallel implementation of Artificial Neural Network training for speech recognition

Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, P. Laface

Tags: Computer science, CUDA, Neural networks, nVidia

November 18, 2010 by hgpu

Fault Table Computation on GPUs

Kanupriya Gulati, Sunil Khatri

Tags: Computer science, Fault simulation, nVidia, nVidia Quadro FX 5800

November 18, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Source codes

Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Wei W. Feng, Byung U. Kim, Yizhou Yu, Liang Peng, John Hart

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 18, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 2010 by hgpu

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Rodinia: A benchmark suite for heterogeneous computing

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Multi-dimensional characterization of temporal data mining on graphics processors

A two-level real-time vision machine combining coarse- and fine-grained parallelism

From Rendering to Tracking Point-based 3D Models

Parallel implementation of Artificial Neural Network training for speech recognition

Fault Table Computation on GPUs

A GPGPU compiler for memory optimization and parallelism management

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Correlation analysis on GPU systems using NVIDIA’s CUDA

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Recent source codes

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

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