NDLI: A Study of Pointer-Chasing Performance on Shared-Memory Processor-FPGA Systems

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A Study of Pointer-Chasing Performance on Shared-Memory Processor-FPGA Systems

Content Provider	ACM Digital Library
Author	Nurvitadhi, Eriko Melber, Joseph Fleming, Kermin Hoe, James C. Wang, Yu Weisz, Gabriel
Abstract	The advent of FPGA acceleration platforms with direct coherent access to processor memory creates an opportunity for accelerating applications with irregular parallelism governed by large in-memory pointer-based data structures. This paper uses the simple reference behavior of a linked-list traversal as a proxy to study the performance potentials of accelerating these applications on shared-memory processor-FPGA systems. The linked-list traversal is parameterized by node layout in memory, per-node data payload size, payload dependence, and traversal concurrency to capture the main performance effects of different pointer-based data structures and algorithms. The paper explores the trade-offs over a wide range of implementation options available on shared-memory processor-FPGA architectures, including using tightly-coupled processor assistance. We make observations of the key effects on currently available systems including the Xilinx Zynq, the Intel QuickAssist QPI FPGA Platform, and the Convey HC-2. The key results show: (1) the FPGA fabric is least efficient when traversing a single list with non-sequential node layout and a small payload size; (2) processor assistance can help alleviate this shortcoming; and (3) when appropriate, a fabric only approach that interleaves multiple linked list traversals is an effective way to maximize traversal performance.
Starting Page	264
Ending Page	273
Page Count	10
File Format	PDF
ISBN	9781450338561
DOI	10.1145/2847263.2847269
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-02-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cache coherence Heterogeneous systems Fpga Pointer chasing Shared memory
Content Type	Text
Resource Type	Article

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