All Research Areas
Research Areas
Year Published

110 Results

September 23, 2018

From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis

IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM)

This paper describes some of the challenges and opportunities when deploying static and dynamic analysis at scale, drawing on the authors’ experience with the Infer and Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, impacting billions of people worldwide.

By: Mark Harman, Peter O'Hearn
July 9, 2018

Continuous Reasoning: Scaling the Impact of Formal Methods

Logic in Computer Science

This paper describes work in continuous reasoning, where formal reasoning about a (changing) codebase is done in a fashion which mirrors the iterative, continuous model of software development that is increasingly practiced in industry. We suggest that advances in continuous reasoning will allow formal reasoning to scale to more programs, and more programmers.

By: Peter O'Hearn
June 20, 2018

HHVM JIT: A Profile-Guided, Region-Based Compiler for PHP and Hack

Programming Language Design and Implementation (PLDI)

This paper describes the design of the second generation of the HHVM JIT and how it addresses the challenges to efficiently execute PHP and Hack programs. This new design uses profiling to build an aggressive region-based JIT compiler. We discuss the benefits of this approach compared to the more popular method-based and trace-based approaches to compile dynamic languages.

By: Guilherme Ottoni
May 16, 2018

Glow: Graph Lowering Compiler Techniques for Neural Networks

arXiv

This paper presents the design of Glow, a machine learning compiler for heterogeneous hardware. It is a pragmatic approach to compilation that enables the generation of highly optimized code for multiple targets. Glow lowers the traditional neural network dataflow graph into a two-phase strongly-typed intermediate representation.

By: Saleem Abdulrasool, Summer Deng, Roman Dzhabarov, Jordan Fix, James Hegeman, Roman Levenstein, Bert Maher, Satish Nadathur, Jakob Olesen, Jongsoo Park, Artem Rakhov, Nadav Rotem, Misha Smelyanskiy
April 23, 2018

Reducing DRAM Footprint with NVM in Facebook

EUROSYS 2018

In this work, we design a key-value store, MyNVM, which leverages an NVM block device to reduce DRAM usage, and to reduce the total cost of ownership, while providing comparable latency and queries-per-second (QPS) as MyRocks on a server with a much larger amount of DRAM. Replacing DRAM with NVM introduces several challenges. In particular, NVM has limited read bandwidth, and it wears out quickly under a high write bandwidth.

By: Assaf Eisenman, Darryl Gardner, Islam AbdelRahman, Jens Axboe, Siying Dong, Kim Hazelwood, Chris Petersen, Asaf Cidon, Sachin Katti
April 16, 2018

Rethinking Concurrency Control for In-Memory OLAP DBMSs

IEEE International Conference on Data Engineering (ICDE)

In this paper we describe a new concurrency control protocol specifically designed for analytical DBMSs that can provide Snapshot Isolation for distributed in-memory OLAP database systems, called Append-Only Snapshot Isolation (AOSI).

By: Pedro Pedreira, Yinghai Lu, Sergey Pershin, Amit Dutta, Chris Crosswhite
April 9, 2018

Semi-Oblivious Traffic Engineering: The Road Not Taken

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

This paper presents a system that uses a set of paths computed using Räcke’s oblivious routing algorithm, as well as a centralized controller to dynamically adapt sending rates. Although oblivious routing and centralized TE have been studied previously in isolation, their combination is novel and powerful.

By: Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiun Lin Lim, Robert Soule
March 28, 2018

SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters

ASPLOS 2018

With the ever growing popularity of cloud computing and web services, Internet companies are in need of increased computing capacity to serve the demand. However, power has become a major limiting factor prohibiting the growth in industry: it is often the case that no more servers can be added to datacenters without surpassing the capacity of the existing power infrastructure.

By: Chang-Hong Hsu, Qingyuan Deng, Jason Mars, Lingjia Tang
December 12, 2017

Supporting Diverse Dynamic Intent-based Policies using Janus

International Conference on emerging Networking EXperiments and Technologies (CoNEXT)

In this paper we propose Janus, a system which makes two major contributions to network policy abstractions. First, we extend the prior policy graph abstraction model to represent complex QoS and dynamic stateful/temporal policies. Second, we convert the policy configuration problem into an optimization problem with the goal of maximizing the number of satisfied and configured policies, and minimizing the number of path changes under dynamic environments.

By: Anubhavnidhi Abhashkumar, Joon-Myung Kang, Sujata Banerjee, Aditya Akella, Ying Zhang, Wenfei Wu
November 1, 2017

High-Resolution Measurement of Data Center Microbursts

ACM Internet Measurement Conference

In this study, we explore the fine-grained behaviors of a large production data center using extremely highresolution measurements (10s to 100s of microsecond) of rack-level traffic. Our results show that characterizing network events like congestion and synchronized behavior in data centers does indeed require the use of such measurements.

By: Qiao Zhang, Vincent Liu, James Hongyi Zeng, Arvind Krishnamurthy