high performance computing on graphics processing units: hgpu.org

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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

A Survey of Recent Prefetching Techniques for Processor Caches

Sparsh Mittal

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Tags: cache, cpu, Hardware, Paper, Performance, Prefetching, Research, Software, survey

March 25, 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

A Survey Of Architectural Techniques for Managing Process Variation

Sparsh Mittal

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Tags: cache, computer architecture, cpu, DVFS, GPU, Memory, survey

December 6, 2015 by sparsh0mittal

A Survey Of Techniques for Architecting and Managing Asymmetric Multicore Processors

Sparsh Mittal

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Tags: asymmetric multicore processor (AMP), big/little system, classification, heterogeneous multicore architecture, reconfigurable AMP, Review, survey

November 13, 2015 by sparsh0mittal

A Survey Of Architectural Techniques for Near-Threshold Computing

Sparsh Mittal

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Tags: cpu, Energy-efficient computing, low voltage computing, Memory, Power-efficient computing, survey

September 7, 2015 by sparsh0mittal

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

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

A Survey of Recent Prefetching Techniques for Processor Caches

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

A Survey Of Architectural Techniques for Managing Process Variation

A Survey Of Techniques for Architecting and Managing Asymmetric Multicore Processors

A Survey Of Architectural Techniques for Near-Threshold Computing

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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