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Theses

hgpu.org » Applications

Diagnosing Performance Bottlenecks in HPC Applications

Kenneth Czechowski

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Tags: Computer science, HPC, Package, Performance, Thesis

June 9, 2019 by hgpu

Multi-GPU Rendering with Vulkan API

Lars Olav Tolo

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Tags: AMD Radeon RX 460, ATI, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1080, nVidia GeForce GTX 970, Package, Thesis, Vulkan

May 26, 2019 by hgpu

OpenDNN: An Open-source, cuDNN-like Deep Learning Primitive Library

Daeyeon Kim

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Tags: Computer science, Deep learning, FPGA, Neural networks, OpenCL, Performance, Thesis

May 19, 2019 by hgpu

Improving Resource Efficiency in Virtualized Datacenters

Marcelo Amaral

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia DGX-1, Thesis, Virtualization

May 12, 2019 by hgpu

FPGA Implementation of Reduced Precision Convolutional Neural Networks

Muhammad Mohid Nabil

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Tags: Computer science, CUDA, Deep learning, FPGA, HLS, Image recognition, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 1080, Precision, Thesis

May 12, 2019 by hgpu

Predictable GPGPU Computing in DNN-Driven Autonomous Systems

Husheng Zhou

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Tags: Computer science, CUDA, Deep learning, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 620, nVidia GeForce GTX 660, nVidia Jetson TX2, nVidia Quadro 6000, Tesla K80, Thesis

May 12, 2019 by hgpu

FPGA-based acceleration of a particle simulation High Performance Computing application

Aldo Conte

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Tags: FPGA, Molecular dynamics, OpenCL, Particle simulation, Physics, Thesis

May 8, 2019 by hgpu

Principles, Techniques, and Tools for Explicit and Automatic Parallelization

Nico Reissmann

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Tags: Computer science, CUDA, nVidia, OpenMP, Package, Performance, performance portability, Tesla K20, Thesis

May 5, 2019 by hgpu

An Architectural Journey into RISC Architectures for HPC Workloads

Ying Hao Xu Lin

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Tags: ARM, Computer science, FPGA, HPC, Thesis

May 5, 2019 by hgpu

Real world applications of Artificial Intelligence on constrained hardware

Wiebe Van Ranst

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Tags: Artificial intelligence, Computer science, Computer vision, Image processing, nVidia, nVidia Jetson TX2, OpenCL, Thesis

April 20, 2019 by hgpu

Methods for Accelerating Machine Learning in High Performance Computing

Robert Lim

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Tesla P100, Thesis

March 31, 2019 by hgpu

Dynamic Application Autotuning for Self-Aware Approximate Computing

Davide Gadioli

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Tags: Auto-Tuning, Computer science, OpenCL, Package, Thesis

March 31, 2019 by hgpu

PSST: A Tutorial for Parallelised Scalable Simulations in TensorFlow

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner’s guide

MUSE: Miami University Simulation Environment

Temporospatial Epidemic Simulations Using Heterogeneous Computing

Pressure Point Analysis framework

Diagnosing Performance Bottlenecks in HPC Applications

Dynamic Distribution Pruning for Efficient Network Architecture Search

Dynamic Distribution Pruning for Efficient Network Architecture Search

Tinker-HP: High Performance Massively Parallel Evolution of Tinker

Raising the Performance of the Tinker-HP Molecular Modeling Package on Intel’s HPC Architectures: a Living Review [Article v1.0]

PyVisc

Classify QCD phase transition with deep learning

Bytespresso: a library for Java to C/CUDA translator based on deep reification

A Development Platform for Embedded Domain-Specific Languages

faimGraph

Breadth-First Search using Dynamic Parallelism on the GPU

Vulkan Multi-GPU application

Multi-GPU Rendering with Vulkan API

Benchmarking Analysis of Vision Kernels on Embedded CPU, GPU and FPGA

Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels

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2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019

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