MAPL 2018 – Proceedings

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

Frontmatter

Program Analysis

Ariadne: Analysis for Machine Learning Programs
Julian Dolby, Avraham Shinnar, Allison Allain, and Jenna Reinen
(IBM Research, USA)

Publisher's Version

Clone-Hunter: Accelerated Bound Checks Elimination via Binary Code Clone Detection
Hongfa Xue, Guru Venkataramani, and Tian Lan
(George Washington University, USA)

Publisher's Version

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)

Publisher's Version Info

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)

Publisher's Version

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)

Publisher's Version

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)

Publisher's Version

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)

Publisher's Version

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)

Publisher's Version

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