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Hybrid Multicore Algorithms for Some Semi-Numerical Applications and Graphs

Dip Sankar Banerjee

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Tags: Algorithms, Cell processor, Computer science, CUDA, Distributed computing, List ranking, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Sorting, Thesis

January 19, 2015 by hgpu

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Salman Habib, Adrian Pope, Hal Finkel, Nicholas Frontiere, Katrin Heitmann, David Daniel, Patricia Fasel, Vitali Morozov, George Zagaris, Tom Peterka, Venkatram Vishwanath, Zarija Lukic, Saba Sehrish, Wei-keng Liao

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Tags: Algorithms, Astrophysics, Cell processor, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia

October 13, 2014 by hgpu

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Kannappan Palaniappan

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Tags: Algorithms, Benchmarking, Cell processor, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C2070

July 24, 2014 by hgpu

Reducing the Disk IO Bandwidth Bottleneck through Fast Floating Point Compression using Accelerators

Ajith Padyana, Devi Sudheer, Pallav Kumar Baruah, Ashok Srinivasan

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Tags: Algorithms, Cell processor, Compression, Computer science, CUDA, nVidia, Tesla M2050

April 9, 2014 by hgpu

Vectorized OpenCL implementation of numerical integration for higher order finite elements

Filip Kruzel, Krzysztof Banas

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Tags: Algorithms, Cell processor, Computer science, Mathematical Software, OpenCL

October 7, 2013 by hgpu

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Mohammad Wadood Majid, Todd E. Schmuland, Mohsin M. Jamali

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Tags: Algorithms, Cell processor, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

May 11, 2013 by hgpu

Acceleration of Tsunami Wave Propagation Modeling based on Re-engineering of Computational Components

Alexander Vazhenin, Mikhail Lavrentiev, Alexey Romanenko, Andrey Marchuk

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Tags: Cell processor, CUDA, Earth and Space Sciences, nVidia, Tesla C2050

April 13, 2013 by hgpu

The Fast Multipole Method on the Cell processor

Pierre Fortin, Jean-Luc Lamotte

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Tags: Cell processor, Computer science, Fast multipole method, Heterogeneous systems

January 20, 2013 by hgpu

An Overview of Selected Hybrid and Reconfigurable Architectures

Sasa Stojanovic, Dragan Bojic, Miroslav Bojovic, Mateo Valero, Veljko Milutinovic

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Review

May 9, 2012 by hgpu

Parallelization of PageRank on Multicore Processors

Tarun Kumar, Parikshit Sondhi, Ankush Mittal

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Tags: Algorithms, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

April 14, 2012 by hgpu

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

Cedric Augonnet

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Tags: Cell processor, Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Task scheduling, Tesla C2050, Tesla M2070, Tesla S1070, Thesis

March 29, 2012 by hgpu

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, Cell processor, Clustering, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480

January 24, 2012 by hgpu

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

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Reducing the Disk IO Bandwidth Bottleneck through Fast Floating Point Compression using Accelerators

Vectorized OpenCL implementation of numerical integration for higher order finite elements

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Acceleration of Tsunami Wave Propagation Modeling based on Re-engineering of Computational Components

The Fast Multipole Method on the Cell processor

An Overview of Selected Hybrid and Reconfigurable Architectures

Parallelization of PageRank on Multicore Processors

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

Recent source codes

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

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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