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Documents authored by Bacon, David F.

Document
DOI: 10.4230/DagRep.14.4.54
Hardware Support for Cloud Database Systems in the Post-Moore’s Law Era (Dagstuhl Seminar 24162)

Authors: David F. Bacon, Carsten Binnig, David Patterson, and Margo Seltzer

Published in: Dagstuhl Reports, Volume 14, Issue 4 (2024)

Abstract
The end of scaling from Moore’s and Dennard’s laws has greatly slowed improvements in CPU speed, RAM capacity, and disk/flash capacity. Meanwhile, cloud database systems, which are the backbone for many large-scale services and applications in the cloud, are continuing to grow exponentially. For example, most of Google’s products that run on the Spanner database have more than a billion users and are continuously growing. Moreover, the growth in data also shows no signs of slowing down, with further orders-of-magnitude increases likely, due to autonomous vehicles, the internet-of-things, and human-driven data creation. Meanwhile, machine learning creates an appetite for data that also needs to be preprocessed using scalable cloud database systems. As a result, cloud database systems are facing a fundamental scalability wall on how to further support this exponential growth given the stagnation in hardware. While database research has a long tradition of investigating how modern hardware can be leveraged to improve overall system performance - which is also shown by the series of past Dagstuhl Seminars - a more holistic view is required to address the imminent exponential scalability challenge that databases will be facing. However, applying hardware accelerators in a database needs a careful design. In fact, so far, no commercial system has applied hardware accelerators at scale. Unlike other hyper-scale applications such as machine learning training and video processing where accelerators such as GPUs and TPUs circumvent this problem, workloads in cloud database systems are typically not compute-bound and thus benefit less or not at all from such existing accelerators. This Dagstuhl Seminar thus aimed to bring together leading researchers and practitioners from database systems, hardware architecture, and storage systems to rethink, from the ground up, how to co-design database systems and compute/storage hardware. By uniting experts across these disciplines, the seminar sought to identify the architectural changes and system designs that could enable the order-of-magnitude improvements required for the next generation of applications.
Cite as

David F. Bacon, Carsten Binnig, David Patterson, and Margo Seltzer. Hardware Support for Cloud Database Systems in the Post-Moore’s Law Era (Dagstuhl Seminar 24162). In Dagstuhl Reports, Volume 14, Issue 4, pp. 54-84, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{bacon_et_al:DagRep.14.4.54,
  author =	{Bacon, David F. and Binnig, Carsten and Patterson, David and Seltzer, Margo},
  title =	{{Hardware Support for Cloud Database Systems in the Post-Moore’s Law Era (Dagstuhl Seminar 24162)}},
  pages =	{54--84},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{4},
  editor =	{Bacon, David F. and Binnig, Carsten and Patterson, David and Seltzer, Margo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.4.54},
  URN =		{urn:nbn:de:0030-drops-213521},
  doi =		{10.4230/DagRep.14.4.54},
  annote =	{Keywords: Databases, Modern Hardware, Cloud}
}
Document
DOI: 10.4230/LIPIcs.SNAPL.2015.32
Growing a Software Language for Hardware Design

Authors: Joshua Auerbach, David F. Bacon, Perry Cheng, Stephen J. Fink, Rodric Rabbah, and Sunil Shukla

Published in: LIPIcs, Volume 32, 1st Summit on Advances in Programming Languages (SNAPL 2015)

Abstract
The Liquid Metal project at IBM Research aimed to design and implement a new programming language called Lime to address some of the challenges posed by heterogeneous systems. Lime is a Java-compatible programming language with features designed to facilitate high level synthesis to hardware (FPGAs). This article reviews the language design from the outset, and highlights some of the earliest design decisions. We also describe how these decisions were revised recently to accommodate important requirements that arise in networking and cryptography.
Cite as

Joshua Auerbach, David F. Bacon, Perry Cheng, Stephen J. Fink, Rodric Rabbah, and Sunil Shukla. Growing a Software Language for Hardware Design. In 1st Summit on Advances in Programming Languages (SNAPL 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 32, pp. 32-40, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{auerbach_et_al:LIPIcs.SNAPL.2015.32,
  author =	{Auerbach, Joshua and Bacon, David F. and Cheng, Perry and Fink, Stephen J. and Rabbah, Rodric and Shukla, Sunil},
  title =	{{Growing a Software Language for Hardware Design}},
  booktitle =	{1st Summit on Advances in Programming Languages (SNAPL 2015)},
  pages =	{32--40},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-80-4},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{32},
  editor =	{Ball, Thomas and Bodík, Rastislav and Krishnamurthi, Shriram and Lerner, Benjamin S. and Morriset, Greg},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SNAPL.2015.32},
  URN =		{urn:nbn:de:0030-drops-50144},
  doi =		{10.4230/LIPIcs.SNAPL.2015.32},
  annote =	{Keywords: Heterogeneous Systems, FPGA, High Level Synthesis, Dataflow, Functional Programming, Streaming, Java}
}
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