high performance computing on graphics processing units: hgpu.org

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BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici

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Tags: AI, Artificial intelligence, cache, CNN, Computer science, cpu, CUDA, Deep learning, GPU, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 1080 Ti

April 25, 2018 by hgpu

Architecting SOT-RAM Based GPU Register File

Sparsh Mittal, Rajendra Bishnoi, Fabian Oboril, Haonan Wang, Mehdi Tahoori, Adwait Jog and Jeffrey Vetter

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Tags: GPU, microarchitecture, non-volatile memory, Register file

October 24, 2017 by sparsh0mittal

High performance pattern matching and data remanence on graphics processing units

X. Bellekens

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Tags: Aho Corasick, Algorithms, amazon, BMH, CUDA, Digital Forensic, forensic, GPU, pattern matching, PFAC, remanence, Sequence matching, String matching, Suffix Tree, Tesla K20, Tesla K20c

November 22, 2016 by xhgpu

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

Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File

Sparsh Mittal, Haonan Wang, Adwait Jog and Jeffrey Vetter

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Tags: GPU, Register file, Reliability

November 1, 2016 by sparsh0mittal

A Survey of Techniques for Architecting Processor Components using Domain Wall Memory

Sparsh Mittal

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Tags: cache, cpu, energy, GPU, main memory, Performance, Register file, Reliability

September 5, 2016 by sparsh0mittal

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Hannes Fassold

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Tags: Computer vision, CUDA, GPU, KLT, Optical flow, SIFT

May 31, 2016 by HannesF99

Data Remanence and Digital Forensic Investigation for CUDA Graphics Processing Units

X. J. A. Bellekens, G. Paul, J. M. Irvine, C. Tachtatzis, R. C. Atkinson, C. Renfrew, T. Kirkham

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Tags: Computer science, data leak, Data recovery, forensic, GPU, Memory, remanence, vulnerable

May 28, 2016 by xhgpu

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

A Survey of Techniques for Architecting and Managing GPU Register File

Sparsh Mittal

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Tags: Energy efficiency, GPU, nVidia, Performance, Power, Register file, Reliability, Research, survey

March 22, 2016 by sparsh0mittal

A Survey Of Techniques for Approximate Computing

Sparsh Mittal

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Tags: Approximate computing and storage, cpu, FPGA, GPU, Neural networks, Power management, survey

January 14, 2016 by sparsh0mittal

A Survey Of Techniques for Cache Locking

Sparsh Mittal

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Tags: cache, cache partitioning, cpu, GPU, multitasking, real time systems, survey, WCET

December 15, 2015 by sparsh0mittal

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

BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

Architecting SOT-RAM Based GPU Register File

High performance pattern matching and data remanence on graphics processing units

A Survey of Techniques for Architecting TLBs

Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File

A Survey of Techniques for Architecting Processor Components using Domain Wall Memory

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Data Remanence and Digital Forensic Investigation for CUDA Graphics Processing Units

A Survey of Cache Bypassing Techniques

A Survey of Techniques for Architecting and Managing GPU Register File

A Survey Of Techniques for Approximate Computing

A Survey Of Techniques for Cache Locking

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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