Systems & networking
Researching next-generation systems and networks that power reliable, scalable, and efficient computing.
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Tech Showcase: OpenPAI: Open Source Initiative for AI Platform in China
Open platform for AI (Open PAI) is an open-source platform for GPU cluster management and resource scheduling. PAI provides runtime environment support, GPU scheduling, and supports debugging, log collection, and port management. PAI is designed…
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Verification and Secure Systems
Bugs in security-critical system software already cost society billions of dollars, and the need for secure software is increasing as more devices are connected to the Internet. This session will outline the security needs of…
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Intelligent Edge
Edge computing is a natural evolution of cloud computing, where server resources, ranging from a credit-card size computers to micro data centers, are placed closer to data and information generation sources. Application and system developers…
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Tech Showcase: Prometheus: Co-Designing Distributed Systems and Datacenter Hardware
The modern datacenter fabric increasingly includes programmable devices capable of increasingly sophisticated processing – ranging from programmable switches that support in-network computation to network-attached FPGAs and smart storage devices. This project asks how we can…
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Tech Showcase: Resource Central: Toward Intelligent Clouds
This project is exploring ways to create intelligent and efficient cloud platforms by leveraging machine learning (ML) techniques. Our first foray in this direction has produced Resource Central (RC), an ML and prediction-serving system that…
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Current Trends in Blockchain Technology
Blockchains are an emerging technology that promises to transform contracts and transactions between mutually untrusted entities. The goal of this session is to explore current trends in blockchain systems with a set of presentations focusing…
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Tech Showcase: Project Fiddle
The goal of Project Fiddle is to build systems infrastructure to systematically speed-up distributed deep neural network (DNN) training while eking out the most from the resources used. Specifically, we are aiming for 100x more…
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Tech Showcase: Confidential AI: Secure Multi-Party Artificial Intelligence
This project proposes a combination of new secure hardware for acceleration of machine learning (including custom silicon and GPUs), and cryptographic techniques to limit or eliminate information leakage in multi-party AI scenarios. This project is…
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Tech Showcase: High-Fidelity Network Validation for Cloud Scale Networks
We propose a platform to validate networks with high-fidelity emulations. On a computing cluster such as Azure, we run the full stack (including real operating system, software, and chip emulators) of each network device in…
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Tech Showcase: High-Fidelity Simulations: The Critical Path to Real-World AI
Developing and testing real-world AI is an expensive and time-consuming process. We need to collect a large amount of annotated training data in a variety of conditions and environments, and such data-driven systems can result…
