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Performance Models for Heterogeneous Iterative Programs

Aparna Sasidharan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla V100

April 10, 2022 by hgpu

Persistent Kernels for Iterative Memory-bound GPU Applications

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, Package, Stencil computation, Tesla A100, Tesla V100

April 10, 2022 by hgpu

ALPINIST: An Annotation-Aware GPU Program Optimizer

Ömer Sakar, Mohsen Safari, Marieke Huisman, Anton Wijs

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Tags: Computer science, CUDA, nVidia, OpenCL, Optimization, Package

April 10, 2022 by hgpu

Advanced Joins on GPUs

Christos Bellas

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX Titan XP, Package, Thesis

March 27, 2022 by hgpu

One-shot tuner for deep learning compilers

Jaehun Ryu, Eunhyeok Park, Hyojin Sung

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Tags: Compilers, Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 2080 Ti, Package

March 27, 2022 by hgpu

Simulation Methodologies for Mobile GPUs

Kuba Kaszyk

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Tags: Computer science, Design space exploration, OpenCL, simulation, Thesis

March 27, 2022 by hgpu

Data transfer optimizations for heterogeneous managed runtime systems

Florin-Gabriel Blanaru

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Tags: Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX 1650, nVidia Quadro GP100, OpenCL

March 27, 2022 by hgpu

Machine Learning for CUDA+MPI Design Rules

Carl Pearson, Aurya Javeed, Karen Devine

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Tags: Computer science, CUDA, Machine learning, Monte Carlo simulation, MPI, nVidia, nVidia A100

March 20, 2022 by hgpu

Managing Extreme Heterogeneity in Next Generation HPC Systems

Harsh Khetawat

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Tags: Computer science, FPGA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 2060, OpenCL, Thesis

March 20, 2022 by hgpu

Concurrent CPU-GPU Task Programming using Modern C++

Tsung-Wei Huang, Yibo Lin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 2080, Timing analysis

March 20, 2022 by hgpu

DISTAL: The Distributed Tensor Algebra Compiler

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla V100

March 20, 2022 by hgpu

Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library

Vincent R. Pascuzzi, Mehdi Goli

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Tags: AMD Radeon Instinct MI100, ATI, Benchmarking, Computer science, FFT, Heterogeneous systems, HIP, HPC, nVidia, nVidia A100, OpenCL, performance portability, SYCL

March 20, 2022 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

Applications

Performance Models for Heterogeneous Iterative Programs

Persistent Kernels for Iterative Memory-bound GPU Applications

ALPINIST: An Annotation-Aware GPU Program Optimizer

Advanced Joins on GPUs

One-shot tuner for deep learning compilers

Simulation Methodologies for Mobile GPUs

Data transfer optimizations for heterogeneous managed runtime systems

Machine Learning for CUDA+MPI Design Rules

Managing Extreme Heterogeneity in Next Generation HPC Systems

Concurrent CPU-GPU Task Programming using Modern C++

DISTAL: The Distributed Tensor Algebra Compiler

Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library

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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