LCTES 2023
24th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2023)
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24th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2023), June 18, 2023, Orlando, FL, USA

LCTES 2023 – Proceedings

Contents - Abstracts - Authors

Frontmatter

Title Page
Welcome from the Chairs

Keynote

Decreasing the Miss Rate and Eliminating the Performance Penalty of a Data Filter Cache (Keynote)
David Whalley
(Florida State University, USA)
Publisher's Version

Code Generation

Facilitating the Bootstrapping of a New ISA
Abigail Mortensen, Scott Pomerville, David Whalley, Soner Onder, and Gang-Ryung Uh
(Florida State University, USA; Michigan Technological University, USA)
Publisher's Version
Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms
Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, and Yongjun Park
(Hanyang University, South Korea; University of Michigan, USA; Korea Institute for Advanced Study, South Korea; Yonsei University, South Korea)
Publisher's Version
MinUn: Accurate ML Inference on Microcontrollers
Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, and Rahul Sharma
(Microsoft Research, India)
Publisher's Version Info

Code/Image Size

reUpNix: Reconfigurable and Updateable Embedded Systems
Niklas Gollenstede, Ulf Kulau, and Christian Dietrich
(Hamburg University of Technology, Germany)
Publisher's Version Published Artifact Artifacts Available Artifacts Functional
Optimizing Function Layout for Mobile Applications
Ellis Hoag, Kyungwoo Lee, Julián Mestre, and Sergey Pupyrev
(Meta Platforms, USA; University of Sydney, Australia)
Publisher's Version
Thread-Level Attack-Surface Reduction
Florian Rommel, Christian Dietrich, Andreas Ziegler, Illia Ostapyshyn, and Daniel Lohmann
(Leibniz University Hannover, Germany; Hamburg University of Technology, Germany; University of Erlangen-Nuremberg, Germany)
Publisher's Version Published Artifact Info Artifacts Available Artifacts Functional Results Reproduced

Scheduling

Sequential Scheduling of Dataflow Graphs for Memory Peak Minimization
Pascal Fradet, Alain Girault, and Alexandre Honorat
(University Grenoble Alpes, France; Inria, France; CNRS, France; Grenoble INP, France; LIG, France)
Publisher's Version Artifacts Reusable Results Reproduced
PinIt: Influencing OS Scheduling via Compiler-Induced Affinities
Girish Mururu, Kangqi Ni, Ada Gavrilovska, and Santosh Pande
(Georgia Tech, USA)
Publisher's Version

Storage

Rep-RAID: An Integrated Approach to Optimizing Data Replication and Garbage Collection in RAID-Enabled SSDs
Jun Li, Balazs Gerofi, Francois Trahay, Zhigang Cai, and Jianwei Liao
(Southwest University, China; National Institute of Informatics, Japan; Intel Corporation, USA; Telecom SudParis, France)
Publisher's Version
ISVABI: In-Storage Video Analytics Engine with Block Interface
Yi Zheng, Joshua Fixelle, Pingyi Huo, Mircea Stan, Michael Mesnier, and Vijaykrishnan Narayanan
(Pennsylvania State University, USA; University of Virginia, USA; Intel Labs, USA)
Publisher's Version
LUNAR: A Native Table Engine for Embedded Devices
Xiaopeng Fan, Song Yan, Yuchen Huang, and Chuliang Weng
(East China Normal University, China)
Publisher's Version

Work-in-Progress

Towards Secure MicroPython on Morello (WIP)
Jeremy Singer
(University of Glasgow, UK)
Publisher's Version
Tiling for DMA-Based Hardware Accelerators (WIP)
Alexandre Singer and Kai-Ting Amy Wang
(Huawei Canada Research Center, Canada)
Publisher's Version
Towards Automated Identification of Layering Violations in Embedded Applications (WIP)
Mingjie Shen, James C. Davis, and Aravind Machiry
(Purdue University, USA)
Publisher's Version Published Artifact Artifacts Available Artifacts Functional Results Reproduced

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