Recent Research Parallel Cad Evaluation on Graphics Processing Units
نویسنده
چکیده
My research goal is to develop application-driven geometric algorithms for computer aided design and manufacturing that are provably correct in theory and robust in practice. Much of my current work has the theme of visibility, accessibility, and/or interference analysis, with applications in parallel CAD evaluation, design for manufacturing for casting and injection molding, virtual design environments, and cleanability. Below is a detailed summary of my recent research contributions in these areas from July, 2006 – present.
منابع مشابه
Investigating the Effects of Hardware Parameters on Power Consumptions in SPMV Algorithms on Graphics Processing Units (GPUs)
Although Sparse matrix-vector multiplication (SPMVs) algorithms are simple, they include important parts of Linear Algebra algorithms in Mathematics and Physics areas. As these algorithms can be run in parallel, Graphics Processing Units (GPUs) has been considered as one of the best candidates to run these algorithms. In the recent years, power consumption has been considered as one of the metr...
متن کاملDesign and Manufacturing using GPUs
Graphics processing units (GPUs) have recently evolved into programmable parallel processors capable of performing general-purpose computational tasks. We present some algorithms that utilize GPUs to speed up traditional operations in design and manufacturing. One significant operation in Computer Aided Design (CAD) is the evaluation and rendering of trimmed NURBS surfaces. Another important pr...
متن کاملOpenCL Sparse Linear Solver for Circuit Simulation
Sparse linear systems are found in a variety of scientific and engineering problems. In VLSI CAD tools, DC circuit analysis creates large, sparse systems represented by matrices and vectors. The algorithms designed to solve these systems are known to be quite time consuming and many previous attempts have been made to parallelize them. Graphics cards have evolved from specialized devices into m...
متن کاملParallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers (ALC-PSO). These algorithms improve the performance of PSO in terms of finding the best solution and accelerating the convergence speed. However, these algorithms are computationally intensive. The go...
متن کاملA Performance Evaluation of Kokkos & RAJA using the TeaLeaf Mini-App
In this research project we have taken the TeaLeaf ‘miniapp’ and developed several ports using a mixture of new and mature parallel programming models. We have discovered that RAJA is a promising model with an intuitive development approach, that exhibits good performance on central processing units (CPUs), but does not currently support other devices. Kokkos requires greater up-front developme...
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