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CT image reconstruction with half precision floating-point values

Clemens Maass, Sven Steckmann, Matthias Baer, Lars Hillebrand, Willi A. Kalender, Marc Kachelriess

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Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280

November 21, 2011 by hgpu

Efficient GPGPU-based parallel packet classification

Che-Lun Hung, Yaw-Ling Lin, Kuan-Ching Li, Hsiao-Hsi Wang, Shih-Wei Guo

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Tags: Algorithms, Computer science, CUDA, Filtering, Network communications, nVidia, nVidia GeForce GTS 450, Security

November 21, 2011 by hgpu

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

Eugene Burmako, Rauf Sadykhov

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, Package

November 21, 2011 by hgpu

Graph-based Parallel Analysis of Large Analog Circuits Based on GPU Platforms

Jianan Lu, Zhigang Hao, Sheldon X.-D. Tan

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Tags: Algorithms, CAD, Computer science, CUDA, Electronic design automation, Graph theory, nVidia, Tesla S1070

November 21, 2011 by hgpu

Challenge benchmarks that must be conquered to sustain the gpu revolution

Emily Blem, Matthew Sinclair, Karthikeyan Sankaralingam

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Tags: Benchmarking, Computer science, CUDA, nVidia, Tesla C1060

November 21, 2011 by hgpu

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Matthias Christen, Olaf Schenk, Helmar Burkhart

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Tags: Code generation, Computer science, Java, nVidia, Optimization, Package, Tesla C2050

November 21, 2011 by hgpu

Efficient Stack-less BVH Traversal for Ray Tracing

Michal Hapala, Tomas Davidovic, Ingo Wald, Vlastimil Havran, Philipp Slusallek

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 260, nVidia GeForce GTX 470, Raytracing

November 20, 2011 by hgpu

Implementing a Finite Difference-Based Real-time Sound Synthesizer using GPUs

Marc Sosnick, William Hsu

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Tags: Acoustics, Algorithms, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GT 330 M, Package, Physics

November 20, 2011 by hgpu

Spatial interpolation in massively parallel computing environments

Katharina Hennebohl, Marius Appel, Edzer Pebesma

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 4800

November 20, 2011 by hgpu

Soft Error Resilient QR Factorization for Hybrid System

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Fault tolerance, Hybrid computing, Linear Algebra, nVidia, Tesla C2050, Tesla M2070

November 20, 2011 by hgpu

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

Kwang-Ting (Tim) Cheng, Yi-Chu Wang

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Tags: ARM, Computer science, Computer vision, FFT, Image recognition, nVidia, nVidia Tegra

November 20, 2011 by hgpu

Autotuning GEMMs for Fermi

Jakub Kurzak, Stanimire Tomov, Jack Dongarra

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Tags: Benchmarking, BLAS, Computer science, CUDA, Linear Algebra, Mathematical Software, Matrix multiplication, nVidia, Package, Tesla S2050

November 20, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

CT image reconstruction with half precision floating-point values

Efficient GPGPU-based parallel packet classification

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

Graph-based Parallel Analysis of Large Analog Circuits Based on GPU Platforms

Challenge benchmarks that must be conquered to sustain the gpu revolution

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Efficient Stack-less BVH Traversal for Ray Tracing

Implementing a Finite Difference-Based Real-time Sound Synthesizer using GPUs

Spatial interpolation in massively parallel computing environments

Soft Error Resilient QR Factorization for Hybrid System

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

Autotuning GEMMs for Fermi

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

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