high performance computing on graphics processing units: hgpu.org

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A Survey of Techniques for Dynamic Branch Prediction

Sparsh Mittal

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Tags: branch predictor, Paper, speculative execution, survey

April 25, 2018 by sparsh0mittal

A Survey of Techniques for Improving Security of GPUs

Sparsh Mittal, S.B. Abhinaya, Manish Reddy, Irfan Ali

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Tags: Computer science, Security, survey

April 7, 2018 by hgpu

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis

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Tags: Artificial intelligence, Computer science, Deep learning, Design space exploration, FPGA, OpenCL, survey

March 17, 2018 by hgpu

A Survey of Techniques for Improving Security of Non-volatile Memories

Sparsh Mittal, Ahmed Alsalibi

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Tags: Computer science, Hardware security, non-volatile memory, Security, survey

February 15, 2018 by sparsh0mittal

Graph Processing on GPUs: A Survey

Xuanhua Shi, Zhigao Zheng, Yongluan Zhou, Hai Jin, Ligang He, Bo Liu, Qiang-Sheng Hua

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Tags: Computer science, CUDA, Graph theory, nVidia, OpenCL, survey

January 13, 2018 by hgpu

Sorting with GPUs: A Survey

Dmitri I. Arkhipov, Di Wu, Keqin Li, Amelia C. Regan

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, survey

September 12, 2017 by hgpu

A Survey of Techniques for Architecting TLBs

Sparsh Mittal

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Tags: cpu, CPU-GPU system, GPU, Power management, survey, TLB, virtual memory

November 2, 2016 by sparsh0mittal

A survey of sparse matrix-vector multiplication performance on large matrices

Max Grossman, Christopher Thiele, Mauricio Araya-Polo, Florian Frank, Faruk O. Alpak, Vivek Sarkar

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Tags: Computer science, CUDA, Linear Algebra, Numerical Analysis, nVidia, Performance, Sparse matrix, survey, Tesla M2070

August 4, 2016 by hgpu

Survey of Domain-Specific Languages for FPGA Computing

Nachiket Kapre, Samuel Bayliss

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Tags: Computer science, DSL, FPGA, survey

July 13, 2016 by hgpu

A Survey of Techniques for Designing and Managing CPU Register File

Sparsh Mittal

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Tags: cpu, Performance, Register file, survey

July 8, 2016 by sparsh0mittal

A Survey of Cache Bypassing Techniques

Sparsh Mittal

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Tags: cache bypassing, cpu, CPU-GPU heterogeneous system, DRAM, GPU, Memory, non-volatile memory, survey

April 29, 2016 by sparsh0mittal

Fluid Simulation by the Smoothed Particle Hydrodynamics Method: A Survey

T. Weaver, Z. Xiao

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, survey

April 16, 2016 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A Survey of Techniques for Dynamic Branch Prediction

A Survey of Techniques for Improving Security of GPUs

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

A Survey of Techniques for Improving Security of Non-volatile Memories

Graph Processing on GPUs: A Survey

Sorting with GPUs: A Survey

A Survey of Techniques for Architecting TLBs

A survey of sparse matrix-vector multiplication performance on large matrices

Survey of Domain-Specific Languages for FPGA Computing

A Survey of Techniques for Designing and Managing CPU Register File

A Survey of Cache Bypassing Techniques

Fluid Simulation by the Smoothed Particle Hydrodynamics Method: A Survey

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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