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Implementation of float-float operators on graphics hardware

Guillaume Da Gracca, David Defour

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Tags: Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Review

November 13, 2010 by hgpu

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

S. Tomov, M. McGuigan, R. Bennett, G. Smith, J. Spiletic

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Tags: Cg, Computer science, Ising model, Monte Carlo simulation, nVidia, Performance, Physics

November 13, 2010 by hgpu

The Graphics Card as a Streaming Computer

Suresh Venkatasubramanian

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Tags: Computer science, Review

November 13, 2010 by hgpu

Cg in Two Pages

Mark J. Kilgard

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Tags: Cg, Computer science, High-level Languages, HLSL, nVidia, Review

November 13, 2010 by hgpu

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

The Living Application: a Self-Organising System for Complex Grid Tasks

D. Groen, S. Harfst, S. Portegies Zwart

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Tags: Computer science, Galaxy Astrophysics, N-body simulation, Networking and Internet Architecture, nVidia, nVidia GeForce 8800 Ultra

November 13, 2010 by hgpu

Tiling for Performance Tuning on Different Models of GPUs

Chang Xu, Steven R. Kirk, Samantha Jenkins

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, Performance

November 13, 2010 by hgpu

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

Exploring the Limits of GPUs With Parallel Graph Algorithms

Frank Dehne, Kumanan Yogaratnam

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, Performance

November 12, 2010 by hgpu

Deterministic Sample Sort For GPUs

Frank Dehne, Hamidreza Zaboli

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Tags: Algorithms, Computational Complexity, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Sorting

November 12, 2010 by hgpu

Measuring Bandwidth for Super Computer Workloads

A. Neela Madheswari, R. S. D. Wahida Banu

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Tags: Astrophysics, Computer science, Instrumentation and Methods for Astrophysics

November 12, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Source codes

Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

November 11, 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

Implementation of float-float operators on graphics hardware

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

The Graphics Card as a Streaming Computer

Cg in Two Pages

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

The Living Application: a Self-Organising System for Complex Grid Tasks

Tiling for Performance Tuning on Different Models of GPUs

RapidMind: Portability across Architectures and its Limitations

Exploring the Limits of GPUs With Parallel Graph Algorithms

Deterministic Sample Sort For GPUs

Measuring Bandwidth for Super Computer Workloads

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

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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