Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration-Reference-Cited by-同舟云学术

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration

Published:2022-09-01 Issue:5 Volume:42 Page:89-98
ISSN:0272-1732
Container-title:IEEE Micro
language:
Short-container-title:IEEE Micro

Author:

Kim Joon Kyung¹,Ahn Byung Hoon²^ORCID,Kinzer Sean²,Ghodrati Soroush²,Mahapatra Rohan²,Yatham Brahmendra³,Wang Shu-Ting²,Kim Dohee⁴,Sarikhani Parisa⁵,Mahmoudi Babak⁵,Mahajan Divya⁶,Park Jongse⁴^ORCID,Esmaeilzadeh Hadi²^ORCID

Affiliation:

1. University of California, San Diego, La Jolla, CA, USA

2. University of California San Diego, La Jolla, CA, USA

3. Nvidia, Santa Clara, CA, USA

4. KAIST, Daejeon, South Korea

5. Emory University, Atlanta, GA, USA

6. Microsoft, Redmond, WA, USA

Funder

Google

Samsung

Qualcomm

Microsoft

Xilinx

National Science Foundation

National Institutes of Health

Defense Advanced Research Projects Agency

Semiconductor Research Corporation

Institute of Information and communications Technology Planning & Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

https://ieeexplore.ieee.org/ielam/40/9891811/9847104-aam.pdf

Reference12 articles.

1. Mobile robot trajectory tracking using model predictive control;künhe;Proc IEEE Latin Amer Robot Symp,0

2. Optimization-based autonomous racing of 1:43 scale RC cars

3. Intel oneAPI,0

4. DeCO: A DSP Block Based FPGA Accelerator Overlay with Low Overhead Interconnect

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