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Cryptography on Graphics Processing Unit: A Survey

Alpha Sarita Barik, Srinivas Mishra, Manoranjan Pradhan

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Tags: ATI, Computer science, CUDA, nVidia, OpenCL, Security, survey

February 6, 2015 by hgpu

Comparison of OpenCL performance on different platforms using VexCL and Blaze

Hammad Mazhar, Dan Negrut

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Tags: AMD Radeon R7 260, ATI, Benchmarking, Computer science, Intel Xeon Phi, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX 770, OpenCL, Performance, Sparse matrix, Tesla K20

February 6, 2015 by hgpu

Pointer Analysis for Semi-Automatic Code Parallelizers

Ketan Sudhakar Vyavahare

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Tags: Code generation, Computer science, CUDA, OpenCL, Thesis

February 3, 2015 by hgpu

Exploiting Concurrency Patterns with Heterogeneous Task and Data Parallelism

A Geetha Venkatesh

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Tags: Computer science, Data parallelism, Heterogeneous systems, Matrix multiplication, nVidia, OpenCL, Tesla C2070, Thesis

February 3, 2015 by hgpu

GPGPU and MIC in Accelerated Cluster for Remote Sensed Image Processing Software

Olivier MELET, Toon Huysmans, Michel Hummel, Pierre-Marie Brunet

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Tags: CUDA, Image processing, Intel Xeon Phi, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

February 3, 2015 by hgpu

Optimized Data Transfers Based on the OpenCL Event Management Mechanism

Hiroyuki Takizawa, Shoichi Hirasawa, Makoto Sugawara, Isaac Gelado, Hiroaki Kobayashi, Wen-mei W. Hwu

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Tags: Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Programming techniques, Tesla C1060, Tesla C2070

February 1, 2015 by hgpu

In-Memory Data Analytics on Coupled CPU-GPU Architectures

Jiong He, Bingsheng He, Mian Lu, Shuhao Zhang

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Tags: Algorithms, Computer science, Databases, OpenCL

February 1, 2015 by hgpu

Productive and Efficient Computational Science Through Domain-specific Abstractions

Florian Rathgeber

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Tags: Computer science, CUDA, Differential equations, FEM, Finite element method, nVidia, OpenCL, Partial differential equations, PDEs, Thesis

February 1, 2015 by hgpu

OpenCL Implementation of LiDAR Data Processing

Alexander Bussiere

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GT 740 M, OpenCL, Robotics, Thesis

January 30, 2015 by hgpu

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Edoardo Paone

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Tags: Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia Quadro NVS 300, OpenCL, Thesis

January 30, 2015 by hgpu

Tangram: a High-level Language for Performance Portable Code Synthesis

Li-Wen Chang, Abdul Dakkak, Christopher I. Rodrigues, Wen-mei Hwu

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Tags: Computer science, High-level Languages, nVidia, OpenCL, Tesla C2050

January 26, 2015 by hgpu

Taming the complexities of the C11 and OpenCL memory models

John Wickerson, Mark Batty

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Source codes

Tags: Computer science, Heterogeneous systems, Memory model, OpenCL, Package

January 23, 2015 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Cryptography on Graphics Processing Unit: A Survey

Comparison of OpenCL performance on different platforms using VexCL and Blaze

Pointer Analysis for Semi-Automatic Code Parallelizers

Exploiting Concurrency Patterns with Heterogeneous Task and Data Parallelism

GPGPU and MIC in Accelerated Cluster for Remote Sensed Image Processing Software

Optimized Data Transfers Based on the OpenCL Event Management Mechanism

In-Memory Data Analytics on Coupled CPU-GPU Architectures

Productive and Efficient Computational Science Through Domain-specific Abstractions

OpenCL Implementation of LiDAR Data Processing

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Tangram: a High-level Language for Performance Portable Code Synthesis

Taming the complexities of the C11 and OpenCL memory models

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)