high performance computing on graphics processing units: hgpu.org

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View-dependent exploration of massive volumetric models on large-scale light field displays

Jose Iglesias Guitian, Enrico Gobbetti, Fabio Marton

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

November 19, 2010 by hgpu

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Luca Mussi, Fabio Daolio, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT

November 19, 2010 by hgpu

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

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

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

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

View-dependent exploration of massive volumetric models on large-scale light field displays

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Rodinia: A benchmark suite for heterogeneous computing

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

Multi-dimensional characterization of temporal data mining on graphics processors

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

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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