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Counting Triangles in Large Graphs on GPU

Adam Polak

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Tags: Clustering, Computer science, CUDA, Graph theory, MapReduce, nVidia, Package, Tesla C2050

March 3, 2015 by hgpu

MILJS: Brand New JavaScript Libraries for Matrix Calculation and Machine Learning

Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada

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Tags: Computer science, Java, Machine learning, Mathematical Software, OpenCL, Package, Python

March 2, 2015 by hgpu

Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool (open-source code)

Sparsh Mittal, Matt Poremba, Jeffrey Vetter, Yuan Xie

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Tags: Architecture, area, cache, cpu, energy, GPGPU, latency modeling, Memory, Package

February 22, 2015 by sparsh0mittal

Reproducible Triangular Solvers for High-Performance Computing

Roman Iakymchuk, David Defour, Sylvain Collange, Stef Graillat

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Tags: Algorithms, Computer science, Linear Algebra, nVidia, nVidia Quadro K5000, OpenCL, Package, Tesla K20

February 19, 2015 by hgpu

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

Thomas Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, OpenCL, Package, Rendering, Tessellation

February 19, 2015 by hgpu

NUPAR: A Benchmark Suite for Modern GPU Architectures

Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Tesla C2070, Tesla K40

February 13, 2015 by hgpu

FSCL: Homogeneous programming, scheduling and execution on heterogeneous platforms

Gabriele Cocco

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Package, Thesis

February 10, 2015 by hgpu

GPU-accelerated HMM for Speech Recognition

Leiming Yu, Yash Ukidave, David Kaeli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Speech recognition

February 10, 2015 by hgpu

Fine-Tuning Vectorization and Memory Traffic on Intel Xeon Phi Coprocessors: LU Decomposition of Small Matrices

Andrey Vladimirov

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Tags: cache, Intel Xeon Phi, Ivy Bridge, Package

February 9, 2015 by Andrey Vladimirov

Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations

Simon Perkins, Patrick Maraism, Jonathan Zwart, Iniyan Natarajan, Oleg Smirnov

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Tags: Astrophysics, Bayesian, Computer science, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Python, Tesla K40

February 2, 2015 by hgpu

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

Jimmy SJ. Ren, Li Xu

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Tags: CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780 Ti, Package

January 30, 2015 by hgpu

Accelerate micromagnetic simulations with GPU programming in MATLAB

Ru Zhu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650 Ti, Package

January 30, 2015 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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high performance computing on graphics processing units: hgpu.org

Packages

Counting Triangles in Large Graphs on GPU

MILJS: Brand New JavaScript Libraries for Matrix Calculation and Machine Learning

Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool (open-source code)

Reproducible Triangular Solvers for High-Performance Computing

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

NUPAR: A Benchmark Suite for Modern GPU Architectures

FSCL: Homogeneous programming, scheduling and execution on heterogeneous platforms

GPU-accelerated HMM for Speech Recognition

Fine-Tuning Vectorization and Memory Traffic on Intel Xeon Phi Coprocessors: LU Decomposition of Small Matrices

Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

Accelerate micromagnetic simulations with GPU programming in MATLAB

Recent source codes

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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