high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato

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Tags: Bioinformatics, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Package, Pattern recognition, Tesla C2050

September 5, 2012 by hgpu

Computational Modelling of Galaxy Formation using FLAME GPU

Laurence William James

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Tags: Astrophysics, Computational modelling, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 285, Package, Physics, Python, Thesis

September 4, 2012 by hgpu

GPUVerify: A Verifier for GPU Kernels

Adam Betts, Nathan Chong, Alastair F. Donaldson, Shaz Qadeer, Paul Thomson

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Tags: ARM, ATI, ATI Radeon HD 7970, Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Performance, Tesla C2050

August 28, 2012 by hgpu

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Yi Yang, Ping Xiang, Jingfei Kong, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Programming Languages

August 27, 2012 by hgpu

The nonequispaced FFT on graphics processing units

Susanne Kunis, Stefan Kunis

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 460, Package

August 26, 2012 by hgpu

Cosmological Calculations on the GPU

Deborah Bard, Matthew Bellis, Mark T. Allen, Hasmik Yepremyan, Jan M. Kratochvil

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2070

August 20, 2012 by hgpu

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Ryan M. Layer, Kevin Skadron, Gabriel Robins, Ira M. Hall, Aaron R. Quinlan

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Search, Sequence alignment

August 17, 2012 by hgpu

Rootbeer: Seamlessly using GPUs from Java

Philip C. Pratt-Szeliga, James W. Fawcett, Roy D. Welch

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Tags: Code generation, Computer science, CUDA, Java, nVidia, OpenCL, Package, Tesla C2050

August 17, 2012 by hgpu

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Package

August 16, 2012 by hgpu

vCUDA Framework Development for GPU Virtualization

Aashish Chauhan, Aditya T S, Bakul Mittal, Padmaraj R, Sridutt Nayak

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Virtualization

August 15, 2012 by hgpu

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

B. Cloutier, B. K. Muite, P. Rigge

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Tags: Benchmarking, Computational Physics, CUDA, FFT, Fortran, Mathematical Software, nVidia, OpenACC, Package, Physics, Spectral methods, Tesla M2070

August 14, 2012 by hgpu

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Peter Wittek, Fernando M. Cucchietti

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Tags: Computational Physics, CUDA, MPI, nVidia, Package, Physics, Quantum Physics, Tesla M2090

August 14, 2012 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Computational Modelling of Galaxy Formation using FLAME GPU

GPUVerify: A Verifier for GPU Kernels

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

The nonequispaced FFT on graphics processing units

Cosmological Calculations on the GPU

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Rootbeer: Seamlessly using GPUs from Java

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

vCUDA Framework Development for GPU Virtualization

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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