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Understanding the design trade-offs among current multicore systems for numerical computations

Seunghwa Kang, David A. Bader, Richard W. Vuduc

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Tesla C1060

January 11, 2011 by hgpu

A memory optimization technique for software-managed scratchpad memory in GPUs

Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh

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Tags: Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 5600, Optimization

January 11, 2011 by hgpu

Optimization of tele-immersion codes

Albert Sidelnik, I-Jui Sung, Wanmin Wu, Maria Jesus Garzaran, Wen-mei Hwu, Klara Nahrstedt, David Padua, and Sanjay J. Patel

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optimization

January 11, 2011 by hgpu

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

N. Sanna, I. Baccarelli, G. Morelli

Tags: Biology, Chemistry, CUDA, Molecular modeling, nVidia

January 11, 2011 by hgpu

iNFAnt: NFA pattern matching on GPGPU devices

Niccolo' Cascarano, Pierluigi Rolando, Fulvio Risso, Riccardo Sisto

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260, String matching

January 11, 2011 by hgpu

Accelerating linpack with CUDA on heterogenous clusters

Massimiliano Fatica

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia

January 11, 2011 by hgpu

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Ros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen-mei W. Hwu

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Tags: Compilers, Computer science, CUDA, FPGA, High-level Languages

January 11, 2011 by hgpu

CUDA-based real time surgery simulation

Youquan Liu, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Surgical simulation

January 11, 2011 by hgpu

Fast binding site mapping using GPUs and CUDA

Bharat Sukhwani, Martin C. Herbordt

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060

January 11, 2011 by hgpu

High-performance CUDA kernel execution on FPGAs

Alexandros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen Mei

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Tags: Computer science, CUDA, FPGA, Performance, Programming techniques

January 11, 2011 by hgpu

Quality-score guided error correction for short-read sequencing data using CUDA

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

Tags: Bioinformatics, Biology, CUDA, Error recovery, Genetics, nVidia

January 11, 2011 by hgpu

High-speed volume ray casting with CUDA

L. Marsalek, A. Hauber, P. Slusallek

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Tags: Computer science, CUDA, nVidia, Poster, Real-time graphics

January 10, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Understanding the design trade-offs among current multicore systems for numerical computations

A memory optimization technique for software-managed scratchpad memory in GPUs

Optimization of tele-immersion codes

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

iNFAnt: NFA pattern matching on GPGPU devices

Accelerating linpack with CUDA on heterogenous clusters

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

CUDA-based real time surgery simulation

Fast binding site mapping using GPUs and CUDA

High-performance CUDA kernel execution on FPGAs

Quality-score guided error correction for short-read sequencing data using CUDA

High-speed volume ray casting with CUDA

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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