high performance computing on graphics processing units: hgpu.org

hgpu.org » Sorting

Sorting On A Graphics Processing Unit (GPU)

Shibdas Bandyopadhyay, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, Tesla C1060

June 18, 2013 by hgpu

Comparison based sorting for systems with multiple GPUs

Ivan Tanasic, Lluis Vilanova, Marc Jorda, Javier Cabezas, Isaac Gelado, Nacho Navarro, Wen-mei Hwu

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Sorting, Tesla C2070

April 18, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Michael Christopher Delorme

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Tags: APU, ATI, ATI Radeon HD 5870, ATI Radeon HD 6530, ATI Radeon HD 6550, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

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Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Alexandru Pirjan, Dana-Mihaela Petrosanu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Sorting

March 7, 2013 by hgpu

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Frederik Magnus Johansen Vestre

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6490 M, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Sorting, Thesis

November 24, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

Data Sorting Using Graphics Processing Units

Marko J. Misic, Milo V. Tomasevic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Sorting

September 13, 2012 by hgpu

An OpenCL Method of Parallel Sorting Algorithms for GPU Architecture

Krishnahari Thouti, S. R. Sathe

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, Sorting

August 18, 2012 by hgpu

Efficient Algorithms for Sorting on GPUs

Seema M. Munavalli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Sorting, Thesis

August 7, 2012 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Sorting On A Graphics Processing Unit (GPU)

Comparison based sorting for systems with multiple GPUs

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

General Purpose Computation on Graphics Processing Units Using OpenCL

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Fast Parallel Sorting Algorithms on GPUs

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Data Sorting Using Graphics Processing Units

An OpenCL Method of Parallel Sorting Algorithms for GPU Architecture

Efficient Algorithms for Sorting on GPUs

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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