high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Scalable Applications on Heterogeneous System Architectures: A Systematic Performance Analysis Framework

Robert Dietrich

View

Tags: Computer science, CUDA, Data acquisition, Heterogeneous systems, MPI, nVidia, OpenACC, OpenCL, Tesla K80, Tesla V100, Thesis

December 1, 2019 by hgpu

Compiler-Driven Performance on Heterogeneous Computing Platforms

Artem Chikin

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, Heterogeneous systems, Hybrid computing, nVidia, Performance, Tesla P100, Tesla V100, Thesis

November 17, 2019 by hgpu

Deep Learning Based FPGA-CPU Acceleration

R. Luis Jalabert

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, Deep learning, FPGA, Machine learning, Neural networks, Package, Thesis

November 17, 2019 by hgpu

Framework for Parallel Kernels Auto-tuning

Filip Petrovič

View

Download (PDF)

Source codes

Tags: Auto-Tuning, Computer science, CUDA, nVidia, nVidia GeForce GTX 1070, nVidia GeForce GTX 750, nVidia GeForce GTX 970, OpenCL, Package, Performance, Thesis

November 10, 2019 by hgpu

Code Optimization on GPUs

Changwan Hong

View

Download (PDF)

Tags: Chemistry, Code generation, Computational chemistry, Computer science, CUDA, Intel Xeon Phi, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla P100, Thesis

November 3, 2019 by hgpu

Performance Debugging Frameworks for FPGA High-Level Synthesis

Young-kyu Choi

View

Download (PDF)

Tags: Benchmarking, Computer science, Design space exploration, FPGA, HLS, Performance, Thesis

October 27, 2019 by hgpu

Performance Evaluation of Blocking and NonBlocking Concurrent Queues on GPUs

Hossein Pourmeidani

View

Download (PDF)

Tags: AMD Radeon R7, ATI, Benchmarking, Computer science, OpenCL, Performance, Thesis

October 13, 2019 by hgpu

Verification of GPU Program Optimizations in Lean

Björn Fischer

View

Download (PDF)

Source codes

Tags: Computer science, High-level Languages, Package, Thesis

October 6, 2019 by hgpu

Code optimization based on source to source transformations using profile guided metrics

Youenn Lebras

View

Download (PDF)

Tags: Code generation, Computer science, Performance, Thesis

September 15, 2019 by hgpu

Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems

Beau Johnston

View

Download (PDF)

Source codes

Tags: Algorithms, AMD Radeon RX 480, ATI Radeon HD 7970, Benchmarking, Computer science, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 1080, OpenCL, Package, Tesla K20, Tesla K40, Thesis

September 15, 2019 by hgpu

Fast Code Exploration for Pipeline Processing in FPGA Accelerators

Leandro de Souza Rosa

View

Download (PDF)

Tags: Computer science, Design space exploration, FPGA, HLS, Thesis

September 8, 2019 by hgpu

Automated Architecture Design for Deep Neural Networks

Steven Abreu

View

Download (PDF)

Tags: Computer science, Deep learning, GPU cluster, Machine learning, Neural networks, nVidia, Tesla K80, Thesis

September 1, 2019 by hgpu

* * *

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

BAT: A standardized benchmark suite for auto-tuners

Towards a Benchmarking Suite for Kernel Tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

EvoTorch: Scalable Evolutionary Computation in Python

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Theses

Scalable Applications on Heterogeneous System Architectures: A Systematic Performance Analysis Framework

Compiler-Driven Performance on Heterogeneous Computing Platforms

Deep Learning Based FPGA-CPU Acceleration

Framework for Parallel Kernels Auto-tuning

Code Optimization on GPUs

Performance Debugging Frameworks for FPGA High-Level Synthesis

Performance Evaluation of Blocking and NonBlocking Concurrent Queues on GPUs

Verification of GPU Program Optimizations in Lean

Code optimization based on source to source transformations using profile guided metrics

Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems

Fast Code Exploration for Pipeline Processing in FPGA Accelerators

Automated Architecture Design for Deep Neural Networks

Recent source codes

E2C-Sim: a simulator and workload generator for Edge-to-Cloud environments

Kernel Tuner

Clava: C/C++ Source-to-Source Tool based on Clang

gpuLik

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

BAT: A standardized benchmark suite for auto-tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

Most viewed papers (last 30 days)