Starting with small invariant formulas and strongest possible invariants avoids large SMT queries, improving SMT solver performance. Academic and industrial participants present research and experience papers that cover the full range of theory and practice of computer . will work with the steering committee to ensure that the symposium program will accommodate presentations for all accepted papers. The main contribution of this paper is GoJournal, a verified, concurrent journaling system that provides atomicity for storage applications, together with Perennial 2.0, a framework for formally specifying and verifying concurrent crash-safe systems. Youngseok Yang, Seoul National University; Taesoo Kim, Georgia Institute of Technology; Byung-Gon Chun, Seoul National University and FriendliAI. Second, Fluffy uses multiple existing Ethereum clients that independently implement the specification as cross-referencing oracles. Professor Veloso is the Past President of AAAI (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. In particular, responses must not include new experiments or data, describe additional work completed since submission, or promise additional work to follow. blk-switch uses this insight to adapt techniques from the computer networking literature (e.g., multiple egress queues, prioritized processing of individual requests, load balancing, and switch scheduling) to the Linux kernel storage stack. Finding the inductive invariant of the distributed protocol is a critical step in verifying the correctness of distributed systems, but takes a long time to do even for simple protocols. PLDI is a premier forum for programming language research, broadly construed, including design, implementation, theory, applications, and performance. Our approach outperforms existing file systems on a block SSD by a wide margin 6.2 on average for metadata-intensive benchmarks. Jiang Zhang, University of Southern California; Shuai Wang, HKUST; Manuel Rigger, Pinjia He, and Zhendong Su, ETH Zurich.
HotNets 2021: Call for Papers - sigcomm This motivates the need for a new approach to data privacy that can provide strong assurance and control to users. blk-switch evaluation over a variety of scenarios shows that it consistently achieves s-scale average and tail latency (at both 99th and 99.9th percentiles), while allowing applications to near-perfectly utilize the hardware capacity. We demonstrate that the hardware thread scheduler is able to lower RPC tail response time by about 5 while enabling the system to sustain 20% higher load, relative to traditional thread scheduling techniques. Machine learning (ML) models trained on personal data have been shown to leak information about users.
OSDI - Guide Proceedings Calibrated interrupts increase throughput by up to 35%, reduce CPU consumption by as much as 30%, and achieve up to 37% lower latency when interrupts are coalesced. We present application studies for 8 applications, improving requests-per-second (RPS) by 7.7% and reducing RAM usage 2.4%. Despite their extensive use for debugging and vulnerability discovery, sanitizer checks often induce a high runtime cost. Used Zotero to organize papers about the stress and diffusion between anode and electrolyte and made a summary . By monitoring the status of each job during training, Pollux models how their goodput (a novel metric we introduce that combines system throughput with statistical efficiency) would change by adding or removing resources. Yet, existing efforts randomly select FL participants, which leads to poor model and system efficiency. Existing systems that hide voice call metadata either require trusted intermediaries in the network or scale to only tens of users. Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, and Liyan Zheng, Tsinghua University; Yuanzhi Li, Carnegie Mellon University; Kaiyuan Rong and Yuanyong Chen, Tsinghua University; Zhihao Jia, Carnegie Mellon University and Facebook. Professor Veloso earned a Bachelor and Master of Science degrees in Electrical and Computer Engineering from Instituto Superior Tecnico in Lisbon, Portugal, a Master of Arts in Computer Science from Boston University, and Master of Science and PhD in Computer Science from Carnegie Mellon University. Second, GNNAdvisor implements a novel and highly-efficient 2D workload management tailored for GNN computation to improve GPU utilization and performance under different application settings. Despite having the same end goals as traditional ML, FL executions differ significantly in scale, spanning thousands to millions of participating devices. Just using Lambdas on top of CPU servers offers up to 2.75 more performance-per-dollar than training only with CPU servers. The biennial ACM Symposium on Operating Systems Principles is the world's premier forum for researchers, developers, programmers, vendors and teachers of operating system technology. High-performance tensor programs are critical for efficiently deploying deep neural network (DNN) models in real-world tasks. This paper presents Zeph, a system that enables users to set privacy preferences on how their data can be shared and processed. We present NrOS, a new OS kernel with a safer approach to synchronization that runs many POSIX programs. Pages should be numbered, and figures and tables should be legible in black and white, without requiring magnification. Based on the observation that invariants are often concise in practice, DistAI starts with small invariant formulas and enumerates all strongest possible invariants that hold for all samples. They collectively make the backup fresh, columnar, and fault-tolerant, even facing millions of concurrent transactions per second. Web pages today commonly include large amounts of JavaScript code in order to offer users a dynamic experience. First, it enables a caller to push a message to a callee in two hops, using a new way of assigning mailboxes to users that resembles how a post office assigns PO boxes to its customers. The NVMe zoned namespace (ZNS) is emerging as a new storage interface, where the logical address space is divided into fixed-sized zones, and each zone must be written sequentially for flash-memory-friendly access. Consensus bugs are bugs that make Ethereum clients transition to incorrect blockchain states and fail to reach consensus with other clients. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research. Welcome to the 2021 USENIX Annual Technical Conference (ATC '21) submissions site! Horcrux-compliant web servers perform offline analysis of all the JavaScript code on any frame they serve to conservatively identify, for every JavaScript function, the union of the page state that the function could access across all loads of that page. Proceedings Cover | Editor in charge: Daniel Petrolia . Existing algorithms are designed to work well for certain workloads. (Visa applications can take at least 30 working days to process.) However, memory allocation decisions also impact overall application performance via data placement, offering opportunities to improve fleetwide productivity by completing more units of application work using fewer hardware resources.
OSDI '22 Technical Sessions | USENIX Copyright to the individual works is retained by the author[s]. We present the results of a 1% experiment at fleet scale as well as the longitudinal rollout in Googles warehouse scale computers. After three years working on web-based collaboration systems at a startup in North Carolina, he joined Sprint's Advanced Technology Lab in Burlingame, California, in 1998, working on cloud computing and network monitoring. Authors may submit a response to those reviews until Friday, March 5, 2021. In addition, increasing CPU core counts further complicate kernel development. This is especially true for DPF over Rnyi DP, a highly composable form of DP. As a result, data characteristics and device capabilities vary widely across clients. The device then "calibrates" its interrupts to completions of latency-sensitive requests. Welcome to the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI '22) submissions site. The NAL maintains 1) per-node partial views in PM for serving insert/update/delete operations with failure atomicity and 2) a global view in DRAM for serving lookup operations.
Samantha Vaive - Member Board Of Trustees - Lansing Community College Although the number of submissions is lower than the past, it's likely only due to the late announcement; being in my first OSDI PC, I think the quality of the submitted and accepted papers remains as high as ever.
SOSP 2021 - Symposium on Operating Systems Principles AI enables principled representation of knowledge, complex strategy optimization, learning from data, and support to human decision making. We propose PET, the first DNN framework that optimizes tensor programs with partially equivalent transformations and automated corrections. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks Kernel code requires manual memory management and type-unsafe code and must efficiently handle complex, asynchronous events. Radia Perlman is a Fellow at Dell Technologies. The ZNS+ also allows each zone to be overwritten with sparse sequential write requests, which enables the LFS to use threaded logging-based block reclamation instead of segment compaction. While compiler-based techniques have been proposed to improve data locality, they depend on heuristics, which can sometimes hurt performance. Kirk Rodrigues, Yu Luo, and Ding Yuan, University of Toronto and YScope Inc.
OSDI '22 - HotCRP.com USENIX NSDI, 2021 Acceptance Rate: 15.99% Fluid: Resource-Aware Hyperparameter Tuning Engine P. Yu*, J. Liu*, M. Chowdhury (*Equal contribution) MLSys, 2021 Acceptance Rate: 23.53% NetLock: Fast, Centralized Lock Management Using Programmable Switches Z. Yu, Y. Zhang, V. Braverman, M. Chowdhury, X. Jin ACM SIGCOMM, 2020 Acceptance Rate: 21.6% Welcome to the SOSP 2021 Website. Advisor: You have a past or present association as thesis advisor or advisee. Contact your program co-chairs, osdi21chairs@usenix.org, or the USENIX office, submissionspolicy@usenix.org. Prior or concurrent workshop publication does not preclude publishing a related paper in OSDI. USENIX Security '21 has three submission deadlines. To adapt to different workloads, prior works mix or switch between a few known algorithms using manual insights or simple heuristics. Leveraging these information, Pollux dynamically (re-)assigns resources to improve cluster-wide goodput, while respecting fairness and continually optimizing each DL job to better utilize those resources. Thanks to selective profiling, DMons profiling overhead is 1.36% on average, making it feasible for production use. Most existing schedulers expect users to specify the number of resources for each job, often leading to inefficient resource use. Lifting predicates and crash framing make the specification easy to use for developers, and logically atomic crash specifications allow for modular reasoning in GoJournal, making the proof tractable despite complex concurrency and crash interleavings. When further combined with a simple caching strategy, our evaluation shows that P3 is able to outperform existing state-of-the-art distributed GNN frameworks by up to 7. This change is receiving considerable attention in the architecture and security communities, for example, but in contrast, so-called OS researchers are mostly in denial. First, GNNAdvisor explores and identifies several performance-relevant features from both the GNN model and the input graph, and use them as a new driving force for GNN acceleration. First, Fluffy mutates and executes multi-transaction test cases to find consensus bugs which cannot be found using existing fuzzers for Ethereum. Papers must be in PDF format and must be submitted via the submission form. Computation separation makes it possible to construct a deep, bounded-asynchronous pipeline where graph and tensor parallel tasks can fully overlap, effectively hiding the network latency incurred by Lambdas. We prove that DistAI is guaranteed to find the -free inductive invariant that proves the desired safety properties in finite time, if one exists.
Han Meng - Research Assistant - Michigan State University | LinkedIn Precision Conservation: Linking Set-aside and Working Lands Policy The full program will be available in May 2021.
USENIX Security '21 Summer Accepted Papers | USENIX HotNets provides a venue for discussing innovative ideas and for debating future research agendas in networking. Owing to the sequential write-only zone scheme of the ZNS, the log-structured file system (LFS) is required to access ZNS solid-state drives (SSDs). Important Dates Abstract registrations due: Thursday, December 3, 2020, 3:00 pm PST Complete paper submissions due: Thursday, December 10, 2020, 3:00pm PST Author Response Period Perennial 2.0 makes this possible by introducing several techniques to formalize GoJournals specification and to manage the complexity in the proof of GoJournals implementation. Professor Veloso is on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department. Across a wide range of pages, phones, and mobile networks covering web workloads in both developed and emerging regions, Horcrux reduces median browser computation delays by 31-44% and page load times by 18-37%. Horcruxs JavaScript scheduler then uses this information to judiciously parallelize JavaScript execution on the client-side so that the end-state is identical to that of a serial execution, while minimizing coordination and offloading overheads. If you have any questions about conflicts, please contact the program co-chairs. Accepted papers will be allowed 14 pages in the proceedings, plus references. Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. For conference information, . Third, GNNAdvisor capitalizes on the GPU memory hierarchy for acceleration by gracefully coordinating the execution of GNNs according to the characteristics of the GPU memory structure and GNN workloads. Papers accompanied by nondisclosure agreement forms will not be considered. Nico Lehmann and Rose Kunkel, UC San Diego; Jordan Brown, Independent; Jean Yang, Akita Software; Niki Vazou, IMDEA Software Institute; Nadia Polikarpova, Deian Stefan, and Ranjit Jhala, UC San Diego. Authors must limit their responses to (a) correcting factual errors in the reviews or (b) directly addressing questions posed by reviewers. Instead, we propose addressing the root cause of the heuristics problem by allowing software to explicitly specify to the device if submitted requests are latency-sensitive. As a member of ACCT, I have served two years on the bylaws and governance committee and two years on the finance and audit committee. Furthermore, to enable automatic runtime optimization, GNNAdvisor incorporates a lightweight analytical model for an effective design parameter search. We focus on NVMe storage devices and show that it is natural to express these semantics in the kernel and the application and only requires a modest two-bit change to the device interface. We present selective profiling, a technique that locates data locality problems with low-enough overhead that is suitable for production use. Camera-ready submission (all accepted papers): 15 Mars 2022. As increasingly more sensitive data is being collected to gain valuable insights, the need to natively integrate privacy controls in data analytics frameworks is growing in importance. If your accepted paper should not be published prior to the event, please notify production@usenix.org. This yielded 6% fewer TLB miss stalls, and 26% reduction in memory wasted due to fragmentation.
Oort Accepted to Appear at OSDI'2021 | Mosharaf Chowdhury This paper presents the design and implementation of CLP, a tool capable of losslessly compressing unstructured text logs while enabling fast searches directly on the compressed data. 1 Acknowledgements: Paper prepared for the post-conference workshop on Food for Thought: Economic Analysis in Anticipation of the Next Farm Bill at the Agricultural and Applied Economics Association annual meeting, Austin, TX . The 20th ACM Workshop on Hot Topics in Networks (HotNets 2021) will bring together researchers in computer networks and systems to engage in a lively debate on the theory and practice of computer networking. In this paper, we propose a software-hardware co-design to support dynamic, fine-grained, large-scale secure memory as well as fast-initialization. Although SSDs can be simplified under the current ZNS interface, its counterpart LFS must bear segment compaction overhead. Session Chairs: Gennady Pekhimenko, University of Toronto / Vector Institute, and Shivaram Venkataraman, University of WisconsinMadison, Aurick Qiao, Petuum, Inc. and Carnegie Mellon University; Sang Keun Choe and Suhas Jayaram Subramanya, Carnegie Mellon University; Willie Neiswanger, Petuum, Inc. and Carnegie Mellon University; Qirong Ho, Petuum, Inc.; Hao Zhang, Petuum, Inc. and UC Berkeley; Gregory R. Ganger, Carnegie Mellon University; Eric P. Xing, MBZUAI, Petuum, Inc., and Carnegie Mellon University. We demonstrate that KEVIN reduces the amount of I/O traffic between the host and the device, and remains particularly robust as the system ages and the data become fragmented. Jason Mohoney and Roger Waleffe, University of WisconsinMadison; Henry Xu, University of Maryland, College Park; Theodoros Rekatsinas and Shivaram Venkataraman, University of WisconsinMadison. We present DPF (Dominant Private Block Fairness) a variant of the popular Dominant Resource Fairness (DRF) algorithmthat is geared toward the non-replenishable privacy resource but enjoys similar theoretical properties as DRF.
Authors are required to register abstracts by 3:00 p.m. PST on December 3, 2020, and to submit full papers by 3:00 p.m. PST on December 10, 2020. Our approach effectively eliminates high communication and partitioning overheads, and couples it with a new pipelined push-pull parallelism based execution strategy for fast model training. In this talk, I'll speculate on how we came to this unfortunate state of affairs, and what might be done to fix it. In this paper, we show how to address this inefficiency without requiring pages to be rewritten or browsers to be modified. PET then automatically corrects results to restore full equivalence. For instance, the following are not sufficient grounds to specify a conflict with a PC member: they have reviewed the work before, they are employed by your competitor, they are your personal friend, they were your post-doc advisor or advisee, or they had the same advisor as you. The abstractions we design for the privacy resource mirror those defined by Kubernetes for traditional resources, but there are also major differences. Hence, CLP enables efficient search and analytics on archived logs, something that was impossible without it. However, your OSDI submission must use an anonymized name for your project or system that differs from any used in such contexts. Researchers from the Software Systems Laboratory bagged a Best Paper Award at the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2021). Submissions violating the detailed formatting and anonymization rules will not be considered for review. Based on this observation, P3 proposes a new approach for distributed GNN training.
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