LCTES 2020 - LCTES 2020 (original) (raw)

LCTES 2020 is going virtual due to COVID-19 pandemic

LCTES decided not to have real-time Q&A Zoom/Slack communication. Instead, all LCTES talk videos are now available on SIGPLAN’s YouTube channel. Please click the YouTube Talk Videos tab to watch the videos.

This year’s LCTES program consists of one keynote presentation on “Compiler 2.0: Using Machine Learning to Modernize Compiler Technology” by Prof. Saman Amarasinghe, MIT, eleven full paper presentations, and five work-in-progress (WIP) paper presentations. Please check out the keynote video below.

Compiler 2.0: Using Machine Learning to Modernize Compiler Technology


Welcome to the 21st ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2020)

LCTES provides a link between the programming languages and embedded systems engineering communities. Researchers and developers in these areas are addressing many similar problems, but with different backgrounds and approaches. LCTES is intended to expose researchers and developers from either area to relevant work and interesting problems in the other area and provide a forum where they can interact.

Accepted Papers

Title
A Collaborative Filtering Approach for the Automatic Tuning of Compiler OptimisationsLCTES 2020Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni
ApproxRefresh: Enabling Uncorrectable Data Reuse on Flash Memory with Approximate Read AwarenessLCTES 2020Jinhua Cui, Junwei Liu, Jianhang Huang, Haoran Zhu, Laurence T. Yang
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-CoresLCTES 2020Björn Forsberg, Maxim Mattheeuws, Andreas Kurth, Andrea Marongiu, Luca Benini
CITTA: Cache Interference-aware Task Partitioning for Real-time Multi-core SystemsLCTES 2020Jun Xiao, Andy Pimentel
Compiler 2.0: Using Machine Learning to Modernize Compiler TechnologyLCTES 2020Saman Amarasinghe
Compiling Spiking Neural Networks to Neuromorphic HardwareLCTES 2020Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James Shackleford
Exploiting the Trust Between Boundaries: Discovering Memory Corruptions in Printers via Driver Assisted TestingLCTES 2020Xiaoyu He, Erick Bauman, Feng Li, Yu Lei, Linyu Li, Bingchang Liu, Aihua Piao, Kevin Hamlen, Wei Huo, Wei Zou
Improving the performance of WCET analysis in the presence of variable latenciesLCTES 2020Hugues Cassé, Zhenyu Bai, Thomas Carle, Marianne De Michiel, Christine Rochange
Intermittent Computing with Peripherals, Formally VerifiedLCTES 2020Gautier Berthou, Pierre-Evariste Dagand, Delphine Demange, Rémi Oudin, Tanguy Risset
PAQSIM: Fast Performance Model for Graphics Workload on Mobile GPUsLCTES 2020Xiang Gong, Chunling Hu, Chu-Cheow Lim
Path Sensitive Signatures for Control Flow Error DetectionLCTES 2020Ze Zhang, Sunghyun Park, Scott Mahlke
Performance Optimization on big.LITTLE Architectures: A Memory-latency Aware ApproachLCTES 2020Willy Wolff, Barry Porter
WIP: A Synthesis-aided Compiler for DSP ArchitecturesLCTES 2020Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson
WIP: Beyond Base-2 Logarithmic Number SystemsLCTES 2020Syed Asad Alam, David Gregg
WIP: FPGA-based Near Data Processing Platform Selection Using Fast Performance ModelingLCTES 2020Nazanin Farahpour, Zhenman Fang, Glenn Reinman
WIP: Towards Building Better Mobile Web Browsers for Ad-blocking: The Energy PerspectiveLCTES 2020Nadja Heitmann, Sangyoung Mark, Samarjit Chakraborty
WIP: Towards Real-time CNN Inference from a Video Stream on a Mobile GPULCTES 2020Chanyoung Oh, Gunju Park, Sumin Kim, Dohee Kim, Youngmin Yi

Call for Papers

Embedded system design faces many challenges both with respect to functional requirements and nonfunctional requirements, many of which are conflicting. They are found in areas such as design and developer productivity, verification, validation, maintainability, and meeting performance goals and resource constraints. Novel design-time and run-time approaches are needed to meet the demand of emerging applications and to exploit new hardware paradigms, and in particular to scale up to multicores (including GPUs and FPGAs) and distributed systems built from multicores.

LCTES 2020 solicits papers presenting original work on programming languages, compilers, tools, theory, and architectures that help in overcoming these challenges. Research papers on innovative techniques are welcome, as well as experience papers on insights obtained by experimenting with real-world systems and applications.

Paper Categories:

Accepted papers in both categories will appear in the proceedings published by ACM.

This year LCTES is introducing a journal mode in addition to the usual conference mode. All accepted full papers will be invited to be published in a special issue of ACM Transactions on Embedded Computing Systems (TECS).

Original contributions are solicited on the topics of interest including, but not limited to:

Submission

Formatting Guidelines: Submissions must be in ACM SIGPLAN subformat of the acmart format by downloading acmart-sigplanproc.zip, double-column, 10-point type, and may not exceed 10 pages for full papers and 4 pages for work-in-progress papers (not including references; there is no page limit for references for both categories of papers.). A more detailed explanation about formatting can be found at http://www.sigplan.org/Resources/Author/. For papers in the work-in-progress categories, please prepend “WIP: **” in front of the title. To enable double-blind reviewing, submissions must adhere to two rules:

However, nothing should be done in the name of anonymity that weakens the submission or makes the job of reviewing the paper more difficult (e.g., important background references should not be omitted or anonymized). Papers must describe unpublished work that is not currently submitted for publication elsewhere as discussed here. Authors of accepted papers will be required to sign an ACM copyright release.

The ACM template can be found at https://www.acm.org/publications/proceedings-template.

The submission site: is https://lctes20.hotcrp.com.

Registration

Please click here to register for LCTES’2020. Note that it is free to register.