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Revisit Long Short-Term Memory: An Optimization Perspective

Qi Lyu, Jun Zhu

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Tags: Computer science, CUDA, Machine learning, MapReduce, Neural networks, nVidia, nVidia GeForce GTX 770

January 23, 2015 by hgpu

Performance Comparison of GPUs with a Genetic Algorithm based on CUDA

Jae-Hyun Seo, Eun-Sol Ko, Yong-Hyuk Kim

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Tags: Algorithms, Computer science, CUDA, Genetic algorithm, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 260, nVidia GeForce GTX 760, nVidia GeForce GTX 770

December 15, 2014 by hgpu

Acceleration of stereo-matching on multi-core CPU and GPU

Tian Xu, Paul Cockshott, Susanne Oehler

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 770, Stereo vision

September 4, 2014 by hgpu

GPU Based Fast Free-Wake Calculations For Multiple Horizontal Axis Wind Turbine Rotors

M. Turkal, Y. Novikov, S. Usenmez, N. Sezer-Uzol, O. Uzol

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 770

June 20, 2014 by hgpu

GPU-accelerated Computation for Statistical Analysis of the Next-Generation Sequencing Data

Yilan Liu

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Tags: Bioinformatics, Biology, Computer science, CUDA, Next-Generation sequencing, nVidia, nVidia GeForce GTX 770

June 13, 2014 by hgpu

Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

B. Pandya, N. Gajjar

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Tags: CUDA, FFT, nVidia, nVidia GeForce GTX 770, Sensing, Signal processing

June 7, 2014 by hgpu

Developing a compiler for the XeonPhi

Paul Cockshott, Susanne Oehler, Tian Xu

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Tags: Compilers, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, Performance

May 21, 2014 by hgpu

Parallel face Detection and Recognition on GPU

Shivashankar J. Bhutekar, Arati K. Manjaramkar

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 770

April 9, 2014 by hgpu

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel

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Tags: Computer science, KD-tree, Nearest neighbour, nVidia, nVidia GeForce GTX 770, OpenCL

February 1, 2014 by hgpu

Efficient Volume Rendering in CUDA Path Tracer

Hsuan-Yueh Peng, Kristopher Wong, Kaleb Williams

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 770, Raytracing, Rendering

December 9, 2013 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

* * *

high performance computing on graphics processing units: hgpu.org

Revisit Long Short-Term Memory: An Optimization Perspective

Performance Comparison of GPUs with a Genetic Algorithm based on CUDA

Acceleration of stereo-matching on multi-core CPU and GPU

GPU Based Fast Free-Wake Calculations For Multiple Horizontal Axis Wind Turbine Rotors

GPU-accelerated Computation for Statistical Analysis of the Next-Generation Sequencing Data

Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

Developing a compiler for the XeonPhi

Parallel face Detection and Recognition on GPU

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Efficient Volume Rendering in CUDA Path Tracer

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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