CS Events

Qualifying Exam Configurable Hardware-Accelerated Scientific Computing
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Speaker: Jonathan Garcia-Mallen

Location : CoRE 305

Committee: 

Professor Yipeng Huang

Professor Ulrich Kremer

Professor Richard Martin

Professor Casimir Kulikowski

Event Type: Qualifying Exam

Abstract: Parallelized accelerators are increasing in popularity and Differential Equations (DEs) are widespread in the sciences. Yet, many accelerators for DEs are not currently practical in the sciences. First, existing DE accelerators seldom demonstrate a higher order of numerical convergence that is needed to actually support existing numerical algorithms. Second, they are difficult to program, requiring low-level programming expertise. Third, most previous works are specialized stencil accelerators with narrow applicability. We demonstrate convergence for various Partial Differential Equations and Linear DEs. We show a proof-of-concept end-to-end data flow between a high-level language to configurable hardware. We successfully solve and represent the chaotic Lorenz DE as a graph with our system. Our system is over five times faster and over 100 times more energy-efficient than a CPU or GPU on a simple two-variable linear DE. Our work shows that this trifecta of high rates of convergence, friendly UI, and wide applicability are possible for DE accelerators. We thus establish that future works to advance this art should pay mind to all three aspects.

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Contact  Professor Yipeng Huang