high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data

Jaroslav Oľha

View

Tags: AMD Radeon RX Vega 56, ATI, Auto-Tuning, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1070, nVidia GeForce GTX 680, nVidia GeForce GTX 750, nVidia GeForce RTX 2080 Ti, OpenCL, Performance, Tesla K20, Thesis

November 3, 2024 by hgpu

General-Purpose Computing on Tensor Processors

Kuan-Chieh Hsu

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce RTX 2080, nVidia GeForce RTX 3090, nVidia Jetson Nano, Package, Sparse matrix, Thesis, TPU

October 27, 2024 by hgpu

Using modern C++ to improve CUDA programs

Mythreya Kuricheti

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia Quadro RTX 5000, Performance, PTX, Thesis

October 27, 2024 by hgpu

Optimized Code Generation for Parallel and Polyhedral Loop Nests using MLIR

Arun Thangamani

View

Download (PDF)

Tags: AMD Radeon Instinct Mi50, ATI, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia A100, OpenCL, Thesis

October 13, 2024 by hgpu

A domain-specific language for geospatial computations on the GPU

Louise Tidestav

View

Download (PDF)

Tags: Computer science, CUDA, DSL, nVidia, nVidia Quadro P 2000, Thesis

October 13, 2024 by hgpu

Collection skeletons: declarative abstractions for data collections

Zhibo Li

View

Download (PDF)

Tags: Computer science, Data Structures and Algorithms, OpenCL, performance portability, SYCL, Thesis

September 22, 2024 by hgpu

Enhancing Code Portability, Problem Scale, and Storage Efficiency in Exascale Applicationsin Exascale Applications

Nigel Tan

View

Download (PDF)

Tags: AMD Radeon Vega VII, ATI, Computer science, CUDA, Heterogeneous systems, HPC, nVidia, nVidia A100, nVidia DGX-A100, nVidia Quadro RTX 5000, OpenMP, OpenMPI, Particle-in-cell methods, performance portability, Tesla V100, Thesis

September 15, 2024 by hgpu

Acceleration for the many, not the few

Jackson Woodruff

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, Heterogeneous systems, Package, Thesis

August 14, 2024 by hgpu

Data-driven Performance Optimization for Data-intensive Applications

Jie Liu

View

Download (PDF)

Tags: Computer science, Databases, Deep learning, Neural networks, nVidia, nVidia V100, TensorFlow, Thesis

July 28, 2024 by hgpu

Automating Heterogeneous Parallelism in Numerical Differential Equations

Utkarsh

View

Download (PDF)

Source codes

Tags: AMD RX Vega 64, ATI, Computer science, CUDA, Differential equations, Factorization, Heterogeneous systems, Intel, Intel Arc A770, Julia, Numerical Analysis, nVidia, nVidia Quadro RTX 5000, Package, Tesla V100, Thesis

July 14, 2024 by hgpu

The Impact of Modern Consumer GPUs on Commonly Used Secure Password Standards

Hani Khader

View

Download (PDF)

Tags: AMD Radeon RX 6800, ATI, Computer science, CUDA, nVidia, nVidia GeForce RTX 4090, OpenCL, Security, Thesis

July 14, 2024 by hgpu

Automatic Code Rewriting for Performance Portability

Alister Johnson

View

Download (PDF)

Tags: Compilers, Computer science, HIP, OpenCL, OpenMP, performance portability, SYCL, Thesis

July 7, 2024 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

* * *

high performance computing on graphics processing units: hgpu.org

Theses

Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data

General-Purpose Computing on Tensor Processors

Using modern C++ to improve CUDA programs

Optimized Code Generation for Parallel and Polyhedral Loop Nests using MLIR

A domain-specific language for geospatial computations on the GPU

Collection skeletons: declarative abstractions for data collections

Enhancing Code Portability, Problem Scale, and Storage Efficiency in Exascale Applicationsin Exascale Applications

Acceleration for the many, not the few

Data-driven Performance Optimization for Data-intensive Applications

Automating Heterogeneous Parallelism in Numerical Differential Equations

The Impact of Modern Consumer GPUs on Commonly Used Secure Password Standards

Automatic Code Rewriting for Performance Portability

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

Most viewed papers (last 30 days)