high performance computing on graphics processing units: hgpu.org

Pier Stanislao Paolucci, Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Elena Pastorelli, Francesco Simula, Piero Vicini

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Tags: ARM, Computer science, MPI, Neural networks, Neurons and Cognition, nVidia, STDP

May 15, 2015 by hgpu

Improving CUDA DNA Analysis Software with Genetic Programming

William B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman

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Tags: Algorithms, Artificial intelligence, Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Package, Tesla K20, Tesla K40

May 12, 2015 by hgpu

CVPI: A Computer Vision Library For Mobile and Embedded Platforms

Devin Homan

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Tags: Computer science, Computer vision, Image processing, OpenGL, Package, Rendering

May 12, 2015 by hgpu

Density Estimations for Approximate Query Processing on SIMD Architectures

Witold Andrzejewski, Artur Gramacki, Jaroslaw Gramacki

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

May 12, 2015 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Use of modern GPUs in Design Optimization

An Interrupt-Driven Work-Sharing For-Loop Scheduler

Multi-GPU Support on Single Node Using Directive-Based Programming Model

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

Using Butterfly-Patterned Partial Sums to Optimize GPU Memory Accesses for Drawing from Discrete Distributions

Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves

MRCUDA: MapReduce Acceleration Framework Based on GPU

Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

Improving CUDA DNA Analysis Software with Genetic Programming

CVPI: A Computer Vision Library For Mobile and Embedded Platforms

Density Estimations for Approximate Query Processing on SIMD Architectures

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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