Paper Info
Title
High-Performance Spectral Element Methods On Field-Programmable Gate Arrays Implementation, Evaluation, And Future Projection
Abstract
Improvements in computer systems have historically relied on two well-known observations: Moore's law and Dennard's scaling. Today, both these observations are ending, forcing computer users, researchers, and practitioners to abandon the general[purpose architectures' comforts in favor of emerging post-Moore systems. Among the most salient of these post-Moore systems is the Field-Programmable Cate Array (FPGA), which strikes a convenient balance between complexity and performance. In this paper, we study modern FPGAs' applicability in accelerating the Spectral Element Method (SEM) core to many computational fluid dynamics (CFD) applications. We design a custom SEM hardware accelerator operating in double-precision that we empirically evaluate on the latest Stratix 10 GX-series FPGAs and position its performance (and power-efficiency) against state-of-the-art systems such as ARM ThunderX2, NVIDIA Pascal/Volta/Ampere Tesla-series cards, and general-purpose manycore CPUs. Finally, we develop a performance model for our SEM-accelerator, which we use to project future FPGAs' performance and role to accelerate CFD applications, ultimately answering the question: what characteristics would a perfect FPGA for CFD applications have?
Year
DOI
Venue
2021
10.1109/IPDPS49936.2021.00116
2021 IEEE 35TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS)
Keywords
DocType
ISSN
FPGA, CFD, HLS, NVIDIA, ARM, Intel, Nek5000
Conference
1530-2075
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Martin Karp100.34
Artur Podobas23811.42
Niclas Jansson3143.69
Tobias Kenter400.34
Christian Plessl500.34
Philipp Schlatter6135.17
Stefano Markidis702.37