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PEHC@SC 2021: St. Louis, MO, USA

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IEEE/ACM Programming Environments for Heterogeneous Computing, PEHC@SC 2021, St. Louis, MO, USA, November 19, 2021. IEEE 2021, ISBN 978-1-7281-8676-4
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Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. 1-9
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  - conf/sc/KasaharaKKMMFYK21
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Hironori Kasahara, Keiji Kimura, Toshiaki Kitamura, Hiroki Mikami, Kazutaka Morita, Kazuki Fujita, Kazuki Yamamoto, Tohma Kawasumi:
OSCAR Parallelizing and Power Reducing Compiler and API for Heterogeneous Multicores : (Invited Paper). 10-19
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Sitao Huang, Kun Wu, Sai Rahul Chalamalasetti, Izzat El Hajj, Cong Xu, Paolo Faraboschi, Deming Chen:
A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). 20-26
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  - conf/sc/WisniewskiTTSP21
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Robert W. Wisniewski, Xinmin Tian, Philippe Thierry, Samantika Sury, Simon J. Pennycook:
A Holistic Systems Approach to Leveraging Heterogeneity. 27-33
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Sreenivas R. Sukumar, Jacob Balma, Cong Xu, Sergey Serebryakov:
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. 34-43
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Darel Emmot, Ryan Menhusen, Daniel Dauwe, Vipin Kumar Kukkala, Kirk Bresniker:
Designing Heterogeneous Systems: Large Scale Architectural Exploration Via Simulation : Invited Paper. 44-51

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