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Related Concept Videos

High-Performance Liquid Chromatography: Introduction01:11

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HBM Connect: High-Performance HLS Interconnect for FPGA HBM.

Young-Kyu Choi1, Yuze Chi1, Weikang Qiao1

  • 1Computer Science Department, University of California, Los Angeles.

FPGA. ACM International Symposium on Field-Programmable Gate Arrays
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

New High Bandwidth Memory (HBM) FPGA boards offer great potential, but accessing HBM channels efficiently is challenging. HBM Connect is a novel interconnect that significantly boosts FPGA memory bandwidth utilization for demanding applications.

Keywords:
High Bandwidth Memoryfield-programmable gate arrayhigh-level synthesison-chip networkperformance optimization

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Area of Science:

  • Computer Engineering
  • Hardware Acceleration
  • Memory Systems

Background:

  • High Bandwidth Memory (HBM) based FPGA boards provide unprecedented external memory bandwidth.
  • Memory-bound applications can benefit from FPGA acceleration, but efficient utilization remains a challenge.
  • Existing High-Level Synthesis (HLS) environments struggle to create efficient communication architectures for multi-channel HBM access, leading to bandwidth degradation.

Purpose of the Study:

  • To address the limitations in HBM bandwidth utilization on FPGAs.
  • To propose a high-performance customized interconnect, HBM Connect, for FPGA HBM boards.
  • To enhance the communication architecture for memory-bound FPGA applications.

Main Methods:

  • Development of HBM Connect, a customized interconnect for FPGA HBM boards.
  • Introduction of novel HLS-based optimization techniques to improve AXI bus master and switching element throughput.
  • Design and integration of a high-performance customized crossbar to potentially replace built-in solutions.

Main Results:

  • Demonstration of HBM Connect's effectiveness on the Xilinx Alveo U280 HBM board.
  • Case studies using bucket sort and merge sort to explore design spaces and identify optimal resource-performance trade-offs.
  • Significant improvements in resource-performance metrics, ranging from 6.5X to 211X, attributed to HBM Connect.

Conclusions:

  • HBM Connect effectively overcomes the bandwidth limitations of existing HLS environments for FPGA HBM applications.
  • The proposed interconnect and optimization techniques enable fuller exploitation of HBM bandwidth.
  • HBM Connect offers substantial performance gains, making FPGA acceleration more viable for memory-intensive tasks.