high performance computing on graphics processing units: hgpu.org

Steven G. Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllister, Morgan McGuire, Keith Morley, Austin Robison, Martin Stich

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 485, nVidia Quadro FX 5800, PTX, Raytracing, Software Engineering

September 14, 2011 by hgpu

Collision-streams: fast GPU-based collision detection for deformable models

Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

September 11, 2011 by hgpu

TimeGraph: GPU scheduling for real-time multi-tasking environments

Shinpei Kato, Karthik Lakshmanan, Ragunathan Rajkumar, Yutaka Ishikawa

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenGL, Operating systems, Package, Real-time graphics, Task scheduling

September 11, 2011 by hgpu

Interactive volumetric lighting simulating scattering and shadowing

Timo Ropinski, Christian Doring, Christof Rezk-Salama

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Tags: 3D Graphics and Realism, Computed tomography, CT, GLSL, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Tomography, Ultrasound

September 4, 2011 by hgpu

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

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

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Applying software-managed caching and CPU/GPU task scheduling for accelerating dynamic workloads

Flexible, high performance convolutional neural networks for image classification

Parallel probabilistic model checking on general purpose graphics processors

CHPS: An Environment for Collaborative Execution on Heterogeneous Desktop Systems

GPU Accelerated Computation of the ICON Model

An MDE Approach for Automatic Code Generation from MARTE to OpenCL

Randomized selection on the GPU

Processing data streams with hard real-time constraints on heterogeneous systems

OptiX: a general purpose ray tracing engine

Collision-streams: fast GPU-based collision detection for deformable models

TimeGraph: GPU scheduling for real-time multi-tasking environments

Interactive volumetric lighting simulating scattering and shadowing

Recent source codes

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

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

LLOR: Automatic Repair of OpenMP Programs

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