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Rubus: A compiler for seamless and extensible parallelism

Muhammad Adnan, Faisal Aslam, Zubair Nawaz, Syed Mansoor Sarwar

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Tags: Aparapi, Benchmarking, Computer science, CUDA, Java, Matrix multiplication, nVidia, nVidia GeForce GT 630 M, OpenCL, OpenGL, Package

January 6, 2018 by hgpu

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

Manish Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6450, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 630 M, OpenCL, Path problems

December 20, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

Analysis of RSA algorithm using GPU programming

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, RSA, Security

July 9, 2014 by hgpu

Parallel SAT solvers and their application in automatic parallelization

Jaime Kirch da Silveira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, SAT, Thesis

May 31, 2014 by hgpu

Efficient Algorithm for RSA Text Encryption Using CUDA-C

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Security

May 26, 2014 by hgpu

High Performance Computing for Large Graphs of Internet Applications using GPU

Jia Uddin, Emmanuel Oyekanlu, Cheol-Hong Kim, Jong-Myon Kim

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GT 630 M, Software router

April 6, 2014 by hgpu

Fast Image Alignment with Fourier Moment Matching on GPU

Hong-Ren Su, Hao-Yuan Kuo, Shang-Hong Lai, Chin-Chia Wu

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Tags: CUDA, Image alignment, Image processing, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 650

December 18, 2013 by hgpu

Performing DCT8x8 Computation on GPU Using NVIDIA CUDA Technology

Jagdamb Behari Srivastava, R. B. Singh, Jitendra Jain

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 630 M

September 21, 2013 by hgpu

Real-time 3D semi-local surface patch extraction using GPGPU

Sergio Orts-Escolano, Vicente Morell, Jose Garcia-Rodriguez, Miguel Cazorla, Robert B. Fisher

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 480

July 29, 2013 by hgpu

Optimize Overall System Performance Through Workload Sequencing for GPUs Data Offloading

Wei Liu, Jian-Jia Chen, Qingxu Deng, Tei-Wei Kuo, Xue Liu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Performance

July 5, 2013 by hgpu

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Manish Pandey, Himanshu Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 630 M, OpenCL

May 19, 2013 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

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high performance computing on graphics processing units: hgpu.org

Rubus: A compiler for seamless and extensible parallelism

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Analysis of RSA algorithm using GPU programming

Parallel SAT solvers and their application in automatic parallelization

Efficient Algorithm for RSA Text Encryption Using CUDA-C

High Performance Computing for Large Graphs of Internet Applications using GPU

Fast Image Alignment with Fourier Moment Matching on GPU

Performing DCT8x8 Computation on GPU Using NVIDIA CUDA Technology

Real-time 3D semi-local surface patch extraction using GPGPU

Optimize Overall System Performance Through Workload Sequencing for GPUs Data Offloading

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

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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