PLDI 2018 Workshops
39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2018)
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2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL 2018), June 18, 2018, Philadelphia, PA, USA

MAPL 2018 – Proceedings

Contents - Abstracts - Authors

2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL 2018)

Frontmatter

Title Page
Message from the Chairs

Program Analysis

Ariadne: Analysis for Machine Learning Programs
Julian Dolby, Avraham Shinnar, Allison Allain, and Jenna Reinen
(IBM Research, USA)
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Clone-Hunter: Accelerated Bound Checks Elimination via Binary Code Clone Detection
Hongfa Xue, Guru Venkataramani, and Tian Lan
(George Washington University, USA)
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Code Search

Obfuscation Resilient Search through Executable Classification
Fang-Hsiang Su, Jonathan Bell, Gail Kaiser, and Baishakhi Ray
(Columbia University, USA; George Mason University, USA)
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Retrieval on Source Code: A Neural Code Search
Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, and Satish Chandra
(University of Waterloo, Canada; Facebook, USA; University of California at Berkeley, USA)
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New Languages

Diesel: DSL for Linear Algebra and Neural Net Computations on GPUs
Venmugil Elango, Norm Rubin, Mahesh Ravishankar, Hariharan Sandanagobalane, and Vinod Grover
(NVIDIA, USA)
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A Design Proposal for Gen: Probabilistic Programming with Fast Custom Inference via Code Generation
Marco Cusumano-Towner and Vikash K. Mansinghka
(Massachusetts Institute of Technology, USA)
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Relay: A New IR for Machine Learning Frameworks
Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, and Zachary Tatlock
(University of Washington, USA)
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Programming Methodology

The Three Pillars of Machine Programming
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman Amarasinghe, Joshua B. Tenenbaum, and Tim Mattson
(Intel Labs, USA; Massachusetts Institute of Technology, USA)
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