System and Toolchain Support for Reliable Intermittent Computing
Emerging energy-harvesting devices (EHDs) are computer systems that operate using energy extracted from their environment, even from low-power sources like ambient radio-frequency energy. Future EHDs will be a key enabler of emerging IoT applications, but today’s EHDs operate intermittently, only as environmental energy is available. Unfortunately, intermittence makes today’s EHDs unreliable and extremely difficult to program. In this talk I will summarize the main challenges of intermittent execution. I will then discuss our recent efforts to develop future architecture, system, and toolchain support for EHDs to address the challenges of intermittence, focusing especially on programmability, debugging, and reliability. I will close by discussing our recent work on building a reliable, EHD-based, hardware/software application platform.
发言人详细信息
Brandon Lucia is an assistant professor in the department of electrical and computer engineering at Carnegie Mellon University in Pittsburgh, PA. Brandon’s research focuses on redefining computer architectures and systems that make increasingly pervasive, often safety-critical, devices reliable, energy-efficient, and programmable. Brandon and his lab are currently focusing on defining the system stack for systems with intermittently available energy and resources, as well as on redefining parallel architectures to improve their efficiency, correctness, and reliability, exploiting heterogeneity and approximation. Brandon’s work targets the boundaries between computer architecture, compilers, system software, and programming languages. Brandon’s research group is supported by the National Science Foundation, Google, and Disney Research. Brandon received a 2015 Google Faculty Research Award, the 2015 Bell Labs Prize, a 2015 OOPSLA Distinguished Paper Award, and a 2015 OOPSLA Distinguished Artifact Award. Before joining CMU, Brandon had the distinct pleasure of being a Researcher at Microsoft Research, Redmond. Brandon earned a Ph.D. in Computer Science and Engineering from the University of Washington in 2013, and a B.S. degree in Computer Science from Tufts University. Brandon’s personal website is http://brandonlucia.com, his research group is at http://wiki.ece.cmu.edu/abstract/, and his band netcat is at http://netcat.bandcamp.com
- 日期:
- 演讲者:
- Brandon Lucia
- 所属机构:
- Carnegie Mellon University
-
-
Brandon Lucia
-
Jeff Running
-
-
系列: Microsoft Research Talks
-
Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
-
-
-
-
Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
-
Current and Future Application of BCIs
Speakers:- Christoph Guger
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
-
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
-
-
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
-
-
Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
-
-
-
-
-
'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
-
Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
-
Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
-