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Arvon: A Heterogeneous System-in-Package Integrating FPGA and DSP Chiplets for Versatile Workload Acceleration

Wei Tang, Sung-Gun Cho, Tim Tri Hoang, Jacob Botimer, Wei Zhu, Ching-Chi Chang, Cheng‐Hsun Lu, Junkang Zhu, Yaoyu Tao, Tianyu Wei, Naomi Kavi Motwani, Mani Yalamanchi, Ramya Yarlagadda, Sirisha Rani Kale, Mark Flanigan, Allen Chan, Thungoc Tran, Sergey Shumarayev, Zhengya Zhang

2023IEEE Journal of Solid-State Circuits14 citationsDOI

Abstract

Integrating heterogeneous chiplets in a package presents a promising and cost-effective approach to constructing scalable and flexible systems for accelerating a wide range of workloads. We introduce Arvon that integrates a 14-nm FPGA chiplet with two efficient and densely packed 22-nm DSP chiplets using embedded multidie interconnect bridges (EMIBs). The chiplets are interconnected via a 1.536-Tb/s advanced interface bus (AIB) 1.0 interface and a 7.68-Tb/s AIB 2.0 interface. Arvon is programmable, supporting various workloads from neural network (NN) to communication signal processing. Each DSP chiplet delivers a peak performance of 4.14 TFLOPS in half-precision floating-point while maintaining a power efficiency of 1.8 TFLOPS/W. A compilation procedure is developed to map workloads across the FPGA and DSPs to optimize performance and utilization. Our AIB 2.0 interface implementation using 36- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> -pitch microbumps achieves a data transfer rate of 4 Gb/s/pin, with an energy efficiency of 0.10–0.46 pJ/b including the adapter. The bandwidth density reaches 1.024 Tb/s/mm of shoreline and 1.705 Tb/s/mm 2 of area.

Topics & Concepts

Field-programmable gate arrayAdapter (computing)Computer scienceDigital signal processingLatency (audio)Interface (matter)Embedded systemScalabilityComputer hardwareParallel computingOperating systemTelecommunicationsBubbleMaximum bubble pressure methodParallel Computing and Optimization TechniquesEmbedded Systems Design TechniquesLow-power high-performance VLSI design
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