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Software Polarization Spectrometer "PolariS"

Izumi Mizuno, Seiji Kameno, Amane Kano, Makoto Kuroo, Fumitaka Nakamura, Noriyuki Kawaguchi, Katsunori M. Shibata, Seisuke Kuji, Nario Kuno

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 640, Package

December 5, 2014 by hgpu

SiftCU: An Accelerated Cuda Based Implementation of SIFT

Mahdi S. Mohammadi, Mehdi Rezaeian

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 440 GT, nVidia GeForce GTX 670, Package

December 2, 2014 by hgpu

An Approach for Maximizing Performance on Heterogeneous Clusters of CPU and GPU

Nam-Luc Tran, Sabri Skhiri, Arnaud Schils, Edgar Isaac Hiroshi Leon Saiki

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, Nearest neighbour, nVidia, nVidia GeForce GTX Titan, Package

December 2, 2014 by hgpu

Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN)

Naresh Balaji, Esin Yavuz, Thomas Nowotny

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Tags: Algorithms, Code generation, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GT 755 M, Package

December 2, 2014 by hgpu

Scalable Verification Techniques for Data-Parallel Programs

Nathan Yong Seng Chong

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Tags: ARM, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla M2050, Thesis

November 25, 2014 by hgpu

CL2QCD – Lattice QCD based on OpenCL

Owe Philipsen, Christopher Pinke, Alessandro Sciarra, Matthias Bach

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Tags: AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Physics, QCD, Tesla K40

November 20, 2014 by hgpu

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Mario Spera

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Tags: Astrophysics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, QCD

November 20, 2014 by hgpu

Mobile GPGPU Acceleration of Embodied Robot Simulation

Simon Jones, Matthew Studley, Alan Winfield

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Tags: Computer science, OpenCL, Package, Robotics

November 16, 2014 by hgpu

CUDArray: CUDA-based NumPy

Anders Boesen Lindbo Larsen

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Tags: Computer science, CUDA, Neural networks, nVidia, Package, Python

November 16, 2014 by hgpu

Whippletree: Task-based Scheduling of Dynamic Workloads on the GPU

Markus Steinberger, Michael Kenzel, Pedro Boechat, Bernhard Kerbl, Mark Dokter, Dieter Schmalstieg

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Rendering

November 13, 2014 by hgpu

A GPU-Based Wide-Band Radio Spectrometer

Jayanth Chennamangalam, Simon Scott, Glenn Jones, Hong Chen, John Ford, Amanda Kepley, D. R. Lorimer, Jun Nie, Richard Prestage, D. Anish Roshi, Mark Wagner, Dan Werthimer

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX Titan, Package, Signal processing

November 5, 2014 by hgpu

Bounds on the Energy Consumption of Computational Kernels

Andrew Gearhart

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Tags: Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, Package, Tesla K20, Thesis

November 3, 2014 by hgpu

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

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

Gaia AVU-GSR

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

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

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