These limitations require state-of-the-art systems to distribute training across multiple machines. The copyback-aware block allocation considers different copy costs at different copy paths within the SSD. To enable FL developers to interpret their results in model testing, Oort enforces their requirements on the distribution of participant data while improving the duration of federated testing by cherry-picking clients. Taking place in Carlsbad, CA from 11-13 July, OSDI is a highly selective flagship conference in computer science, especially on the topic of computer systems. This year, there were only 2 accepted papers from UK institutes. A graph embedding is a fixed length vector representation for each node (and/or edge-type) in a graph and has emerged as the de-facto approach to apply modern machine learning on graphs. Researchers from the Software Systems Laboratory bagged Best Paper Awards at the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2021) and the 2021 USENIX Annual Technical Conference (USENIX ATC 2021).. Jay Lepreau Best Paper Award, OSDI'21. We compare Marius against two state-of-the-art industrial systems on a diverse array of benchmarks. Hence, kernel developers are constantly refining synchronization within OS kernels to improve scalability at the risk of introducing subtle bugs. The hybrid segment recycling chooses a proper block reclaiming policy between segment compaction and threaded logging based on their costs. All submissions will be treated as confidential prior to publication on the USENIX OSDI 21 website; rejected submissions will be permanently treated as confidential. This paper demonstrates that it is possible to achieve s-scale latency using Linux kernel storage stack, even when tens of latency-sensitive applications compete for host resources with throughput-bound applications that perform read/write operations at throughput close to hardware capacity. One classical approach is to increase the efficiency of an allocator to minimize the cycles spent in the allocator code. Paper abstracts and proceedings front matter are available to everyone now. While compiler-based techniques have been proposed to improve data locality, they depend on heuristics, which can sometimes hurt performance. 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. Session Chairs: Sebastian Angel, University of Pennsylvania, and Malte Schwarzkopf, Brown University, Ishtiyaque Ahmad, Yuntian Yang, Divyakant Agrawal, Amr El Abbadi, and Trinabh Gupta, University of California Santa Barbara. In this talk, I'll speculate on how we came to this unfortunate state of affairs, and what might be done to fix it. For general conference information, see https://www.usenix.org/conference/osdi22. Camera-ready submission (all accepted papers): 15 Mars 2022. DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh . This paper describes the design, implementation, and evaluation of Addra, the first system for voice communication that hides metadata over fully untrusted infrastructure and scales to tens of thousands of users. We observe that, due to their intended security guarantees, SC schemes are inherently oblivioustheir memory access patterns are independent of the input data. An evaluation of Addra on a cluster of 80 machines on AWS demonstrates that it can serve 32K users with a 99-th percentile message latency of 726 msa 7 improvement over a prior system for text messaging in the same threat model. Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, and Roxana Geambasu, Columbia University; Mathias Lcuyer, Microsoft Research. Papers so short as to be considered extended abstracts will not receive full consideration. SOSP Conference - Home - ACM Digital Library Amy Tai, VMware Research; Igor Smolyar, Technion Israel Institute of Technology; Michael Wei, VMware Research; Dan Tsafrir, Technion Israel Institute of Technology and VMware Research. To adapt to different workloads, prior works mix or switch between a few known algorithms using manual insights or simple heuristics. Jason Mohoney and Roger Waleffe, University of WisconsinMadison; Henry Xu, University of Maryland, College Park; Theodoros Rekatsinas and Shivaram Venkataraman, University of WisconsinMadison. Papers must be in PDF format and must be submitted via the submission form. We observe that scalability challenges in training GNNs are fundamentally different from that in training classical deep neural networks and distributed graph processing; and that commonly used techniques, such as intelligent partitioning of the graph do not yield desired results. OSDI '21 Technical Sessions All the times listed below are in Pacific Daylight Time (PDT). 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. With an aim to improve time-to-accuracy performance in model training, Oort prioritizes the use of those clients who have both data that offers the greatest utility in improving model accuracy and the capability to run training quickly. 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. . P3 exposes a simple API that captures many different classes of GNN architectures for generality. 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. In experiments with real DL jobs and with trace-driven simulations, Pollux reduces average job completion times by 37-50% relative to state-of-the-art DL schedulers, even when they are provided with ideal resource and training configurations for every job. OSDI brings together professionals from academic and industrial backgrounds in a premier forum for discussing the design, implementation, and implications of systems software. Authors must make a good faith effort to anonymize their submissions, and they should not identify themselves or their institutions either explicitly or by implication (e.g., through the references or acknowledgments). Reviews will be available for response on Wednesday, March 3, 2021. She also invented the spanning tree algorithm, which transformed Ethernet from a technology that supported a few hundred nodes, to something that can support large networks. Swapnil Gandhi and Anand Padmanabha Iyer, Microsoft Research. 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. Message from the Program Co-Chairs. We implement and evaluate a suite of applications, including MICA, Raft and Set Algebra for document retrieval; and we demonstrate that the nanoPU can be used as a high performance, programmable alternative for one-sided RDMA operations. Four months after we reported the bugs to Geth developers, one of the bugs was triggered on the mainnet, and caused nodes using a stale version of Geth to hard fork the Ethereum blockchain. Moreover, to handle dynamic workloads, Nap adopts a fast NAL switch mechanism. We propose a new framework for computing the embeddings of large-scale graphs on a single machine. We present DistAI, a data-driven automated system for learning inductive invariants for distributed protocols. OSDI 2021 papers summary. This distinction forces a re-design of the scheduler. Research Impact Score 9.24. . Therefore, developers typically find data locality issues via dynamic profiling and repair them manually. will work with the steering committee to ensure that the symposium program will accommodate presentations for all accepted papers. Researchers from the Software Systems Laboratory bagged a Best Paper Award at the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2021). We demonstrate the above using design, implementation and evaluation of blk-switch, a new Linux kernel storage stack architecture. Our further evaluation on 38 CVEs from 10 commonly-used programs shows that SanRazor reduced checks suffice to detect at least 33 out of the 38 CVEs. Han Meng - Research Assistant - Michigan State University | LinkedIn Our evaluation on the SPEC benchmarks shows that SanRazor can reduce the overhead of sanitizers significantly, from 73.8% to 28.062.0% for AddressSanitizer, and from 160.1% to 36.6124.4% for UndefinedBehaviorSanitizer (depending on the applied reduction scheme). If you submit a paper to either of those venues, you may not also submit it to OSDI 21. Manuela will present examples and discuss the scope of AI in her research in the finance domain. Jaehyun Hwang and Midhul Vuppalapati, Cornell University; Simon Peter, UT Austin; Rachit Agarwal, Cornell University. A.H. Hunter, Jane Street Capital; Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, and Parthasarathy Ranganathan, Google. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks Based on the observation that real-world workloads always feature skewed access patterns, Nap introduces a NUMA-aware layer (NAL) on the top of existing concurrent PM indexes, and steers accesses to hot items to this layer. Forgot your password? Our evaluation shows that PET outperforms existing systems by up to 2.5, by unlocking previously missed opportunities from partially equivalent transformations. Such centralized engines are in a perfect position to censor content and violate users privacy, undermining some of the key tenets behind decentralization. At a high level, Addra follows a template in which callers and callees deposit and retrieve messages from private mailboxes hosted at an untrusted server. (Oct 2018) Awarded an Intel Faculty Grant for Research on automated performance optimization (Sep. 2018) Our paper on Foreshadow is accepted to appear at USENIX Security. Session Chairs: Nadav Amit, VMware Research Group, and Ada Gavrilovska, Georgia Institute of Technology, Stephen Ibanez, Alex Mallery, Serhat Arslan, and Theo Jepsen, Stanford University; Muhammad Shahbaz, Purdue University; Changhoon Kim and Nick McKeown, Stanford University. Our evaluation shows that NrOS scales to 96 cores with performance that nearly always dominates Linux at scale, in some cases by orders of magnitude, while retaining much of the simplicity of a sequential kernel. OSDI '21 Call for Papers | USENIX Simultaneous submission of the same work to multiple venues, submission of previously published work, or plagiarism constitutes dishonesty or fraud. PLDI is a premier forum for programming language research, broadly construed, including design, implementation, theory, applications, and performance. KEVIN combines a fast, lightweight, and POSIX compliant file system with a key-value storage device that performs in-storage indexing. Fluffy found two new consensus bugs in the most popular Geth Ethereum client which were exploitable on the live Ethereum mainnet. Title Page, Copyright Page, and List of Organizers | 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. Main conference program: 5-8 April 2022. The key insight in blk-switch is that Linux's multi-queue storage design, along with multi-queue network and storage hardware, makes the storage stack conceptually similar to a network switch. This approach misses possible optimization opportunities as transformations that only preserve equivalence on subsets of the output tensors are excluded. These are hard deadlines, and no extensions will be given. In this paper, we propose Oort to improve the performance of federated training and testing with guided participant selection. This paper presents Zeph, a system that enables users to set privacy preferences on how their data can be shared and processed. Mothy joined the Computer Science Department ETH Zurich in January 2007 and was named Fellow of the ACM in 2013 for contributions to operating systems and networking research. All papers will be available online to registered attendees before the conference. We implemented the ZNS+ SSD at an SSD emulator and a real SSD. Federated Learning (FL) is an emerging direction in distributed machine learning (ML) that enables in-situ model training and testing on edge data. Paper abstracts and proceedings front matter are available to everyone now. Many application domains can benefit from hybrid transaction/analytical processing (HTAP) by executing queries on real-time datasets produced by concurrent transactions. The blockchain community considers this hard fork the greatest challenge since the infamous 2016 DAO hack. We develop a prototype of Zeph on Apache Kafka to demonstrate that Zeph can perform large-scale privacy transformations with low overhead. DMon speeds up PostgreSQL, one of the most popular database systems, by 6.64% on average (up to 17.48%). He joined Intel Research at Berkeley in April 2002 as a principal architect of PlanetLab, an open, shared platform for developing and deploying planetary-scale services. These results outperform state-of-the-art HTAP systems by several orders of magnitude on transactional performance, while just incurring little performance slowdown (5% over pure OLTP workloads) and still enjoying data freshness for analytical queries (less than 20 ms of maximum delay) in the failure-free case. Academic and industrial participants present research and experience papers that cover the full range of theory and practice of computer . We implement DeSearch for two existing decentralized services that handle over 80 million records and 240 GBs of data, and show that DeSearch can scale horizontally with the number of workers and can process 128 million search queries per day. His work has included the Barrelfish multikernel research OS, as well as work on distributed stream processors, and using formal specifications to describe the hardware/software interfaces of modern computer systems. Mingyu Li, Jinhao Zhu, and Tianxu Zhang, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China; Cheng Tan, Northeastern University; Yubin Xia, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China; Sebastian Angel, University of Pennsylvania; Haibo Chen, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China. Software Systems Laboratory Wins Best Paper Awards at the OSDI and Camera-ready submission (all accepted papers): 2 April 2021; Main conference program: 27-28 April 2021; All deadline times are . ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. Prior or concurrent workshop publication does not preclude publishing a related paper in OSDI. We particularly encourage contributions containing highly original ideas, new approaches, and/or groundbreaking results. Session Chairs: Deniz Altinbken, Google, and Rashmi Vinayak, Carnegie Mellon University, Tanvir Ahmed Khan and Ian Neal, University of Michigan; Gilles Pokam, Intel Corporation; Barzan Mozafari and Baris Kasikci, University of Michigan. Dorylus is up to 3.8 faster and 10.7 cheaper compared to existing sampling-based systems. Some recent schedulers choose job resources for users, but do so without awareness of how DL training can be re-optimized to better utilize the provided resources. The abstractions we design for the privacy resource mirror those defined by Kubernetes for traditional resources, but there are also major differences. Prior or concurrent publication in non-peer-reviewed contexts, like arXiv.org, technical reports, talks, and social media posts, is permitted. If you are uncertain about how to anonymize your submission, please contact the program co-chairs, osdi21chairs@usenix.org, well in advance of the submission deadline. 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. AI enables principled representation of knowledge, complex strategy optimization, learning from data, and support to human decision making. Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. Submissions violating the detailed formatting and anonymization rules will not be considered for review. It then feeds those invariants and the desired safety properties to an SMT solver to check if the conjunction of the invariants and the safety properties is inductive. Authors may submit a response to those reviews until Friday, March 5, 2021. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Second, Fluffy uses multiple existing Ethereum clients that independently implement the specification as cross-referencing oracles. PET discovers and applies program transformations that improve computation efficiency but only maintain partial functional equivalence. We built an FPGA prototype of the nanoPU fast path by modifying an open-source RISC-V CPU, and evaluated its performance using cycle-accurate simulations on AWS FPGAs. We argue that a key-value interface between a file system and an SSD is superior to the legacy block interface by presenting KEVIN. We present application studies for 8 applications, improving requests-per-second (RPS) by 7.7% and reducing RAM usage 2.4%. Timothy Roscoe is a Full Professor in the Systems Group of the Computer Science Department at ETH Zurich, where he works on operating systems, networks, and distributed systems, and is currently head of department. In this paper, we present P3, a system that focuses on scaling GNN model training to large real-world graphs in a distributed setting. Papers accompanied by nondisclosure agreement forms will not be considered. Copyright to the individual works is retained by the author[s]. Editor in charge: Daniel Petrolia . Proceedings Cover | 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. 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. Storm ensures security using a Security Typed ORM that refines the (type) abstractions of each layer of the MVC API with logical assertions that describe the data produced and consumed by the underlying operation and the users allowed access to that data. Welcome to the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI '22) submissions site. The chairs may reject abstracts or papers on the basis of egregious missing or extraneous conflicts. Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. EuroSys 2021 And yet, they continue to rely on centralized search engines and indexers to help users access the content they seek and navigate the apps. Kernel code requires manual memory management and type-unsafe code and must efficiently handle complex, asynchronous events. Registering abstracts a week before paper submission is an essential part of the paper-reviewing process, as PC members use this time to identify which papers they are qualified to review. Widely used log-search tools like Elasticsearch and Splunk Enterprise index the logs to provide fast search performance, yet the size of the index is within the same order of magnitude as the raw log size. In this paper, we show how to address this inefficiency without requiring pages to be rewritten or browsers to be modified. A hardware-accelerated thread scheduler makes sub-nanosecond decisions, leading to high CPU utilization and low tail response time for RPCs. In the Ethereum network, decentralized Ethereum clients reach consensus through transitioning to the same blockchain states according to the Ethereum specification. PLDI 2019 - PLDI Research Papers - PLDI 2019 - SIGPLAN Academic and industrial participants present research and experience papers that cover the full range of theory . We present Storm, a web framework that allows developers to build MVC applications with compile-time enforcement of centrally specified data-dependent security policies. For example, talks may be shorter than in prior years, or some parts of the conference may be multi-tracked. We develop rigorous theoretical foundations to simplify equivalence examination and correction for partially equivalent transformations, and design an efficient search algorithm to quickly discover highly optimized programs by combining fully and partially equivalent optimizations at the tensor, operator, and graph levels. Fortunately, we observe that the backups for high availability in modern distributed OLTP systems can be retrofitted to bridge the analytical queries and transactions in HTAP workloads. 64 papers accepted out of 341 submitted. Report - Systems Research Artifacts The symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation. PC members are not required to read supplementary material when reviewing the paper, so each paper should stand alone without it. DistAI generates data by simulating the distributed protocol at different instance sizes and recording states as samples. The OSDI '21 program co-chairs have agreed not to submit their work to OSDI '21. In contrast, CLP achieves significantly higher compression ratio than all commonly used compressors, yet delivers fast search performance that is comparable or even better than Elasticsearch and Splunk Enterprise. Thanks to selective profiling, DMons profiling overhead is 1.36% on average, making it feasible for production use. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications. To this end, we propose GNNAdvisor, an adaptive and efficient runtime system to accelerate various GNN workloads on GPU platforms. We have implemented a prototype of our design based on Penglai, an open-sourced enclave system for RISC-V. These scripts often make pages slow to load, partly due to a fundamental inefficiency in how browsers process JavaScript content: browsers make it easy for web developers to reason about page state by serially executing all scripts on any frame in a page, but as a result, fail to leverage the multiple CPU cores that are readily available even on low-end phones. OSDI - Guide Proceedings Compared to existing baselines, DPF allows training more models under the same global privacy guarantee. 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 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). Only two types of supplementary material are permitted: source code described in the paper and formal proofs sketched in the paper. We demonstrate that Marius achieves the same level of accuracy but is up to one order of magnitude faster. All deadline times are 23:59 hrs UTC. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally.
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