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Massively Parallel Algorithm For Solving The Eikonal Equation On Multiple Accelerator Platforms, Anup Shrestha
Massively Parallel Algorithm For Solving The Eikonal Equation On Multiple Accelerator Platforms, Anup Shrestha
Boise State University Theses and Dissertations
The research presented in this thesis investigates parallel implementations of the Fast Sweeping Method (FSM) for Graphics Processing Unit (GPU)-based computational plat forms and proposes a new parallel algorithm for distributed computing platforms with accelerators. Hardware accelerators such as GPUs and co-processors have emerged as general- purpose processors in today’s high performance computing (HPC) platforms, thereby increasing platforms’ performance capabilities. This trend has allowed greater parallelism and substantial acceleration of scientific simulation software. In order to leverage the power of new HPC platforms, scientific applications must be written in specific lower-level programming languages, which used to be platform specific. Newer …
Clawpack: Building An Open Source Ecosystem For Solving Hyperbolic Pdes, Donna Calhoun
Clawpack: Building An Open Source Ecosystem For Solving Hyperbolic Pdes, Donna Calhoun
Mathematics Faculty Publications and Presentations
Clawpack is a software package designed to solve nonlinear hyperbolic partial differential equations using high-resolution finite volume methods based on Riemann solvers and limiters. The package includes a number of variants aimed at different applications and user communities. Clawpack has been actively developed as an open source project for over 20 years. The latest major release, Clawpack 5, introduces a number of new features and changes to the code base and a new development model based on GitHub and Git submodules. This article provides a summary of the most significant changes, the rationale behind some of these changes, and a …
Dynamic Machine Level Resource Allocation To Improve Tasking Performance Across Multiple Processes, Richard Walter Thatcher
Dynamic Machine Level Resource Allocation To Improve Tasking Performance Across Multiple Processes, Richard Walter Thatcher
Boise State University Theses and Dissertations
Across the landscape of computing, parallelism within applications is increasingly important in order to track advances in hardware capability and meet critical performance metrics. However, writing parallel applications is difficult to do in a scalable way, which has led to the creation of tasking libraries and language extensions like OpenMP, Intel Threading Building Blocks, Qthreads, and more. These tools abstract parallel execution by expressing it in terms of work units (tasks) rather than specific hardware details. This abstraction enables scaling and allows programmers to write software solutions that can leverage whatever level of parallelism is available.However, the typical task scheduler …