OSDI '22 - HotCRP.com PLDI is a premier forum for programming language research, broadly construed, including design, implementation, theory, applications, and performance. Extensive experiments show that GNNAdvisor outperforms the state-of-the-art GNN computing frameworks, such as Deep Graph Library (3.02 faster on average) and NeuGraph (up to 4.10 faster), on mainstream GNN architectures across various datasets. CLP's gains come from using a tuned, domain-specific compression and search algorithm that exploits the significant amount of repetition in text logs. 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. The abstractions we design for the privacy resource mirror those defined by Kubernetes for traditional resources, but there are also major differences. DMons targeted optimizations provide 16.83% speedup on average (up to 53.14%), compared to a baseline that uses the highest level of compiler optimization. News Baris Kasikci's Home Page - Electrical Engineering and Computer NrOS is primarily constructed as a simple, sequential kernel with no concurrency, making it easier to develop and reason about its correctness. This yielded 6% fewer TLB miss stalls, and 26% reduction in memory wasted due to fragmentation. USENIX Security '21 has three submission deadlines. Each new model trained with DP increases the bound on data leakage and can be seen as consuming part of a global privacy budget that should not be exceeded. Proceedings Cover | Novel system designs, thorough empirical work, well-motivated theoretical results, and new application areas are all . A PC member is a conflict if any of the following three circumstances applies: Institution: You are currently employed at the same institution, have been previously employed at the same institution within the past two years (not counting concluded internships), or are going to begin employment at the same institution during the review period. Machine learning (ML) models trained on personal data have been shown to leak information about users. We also welcome work that explores the interface to related areas such as computer architecture, networking, programming languages, analytics, and databases. When registering your abstract, you must provide information about conflicts with PC members. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. One important reason for the high cost is, as we observe in this paper, that many sanitizer checks are redundant the same safety property is repeatedly checked leading to unnecessarily wasted computing resources. Responses should be limited to clarifying the submitted work. While compiler-based techniques have been proposed to improve data locality, they depend on heuristics, which can sometimes hurt performance. Federated Learning (FL) is an emerging direction in distributed machine learning (ML) that enables in-situ model training and testing on edge data. We present the results of a 1% experiment at fleet scale as well as the longitudinal rollout in Googles warehouse scale computers. (Jan 2019) Our REPT paper won a best paper at OSDI'18 (Oct 2018) I will serve in the SOSP'19 PC. 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. Accepted papers will be allowed 14 pages in the proceedings, plus references. 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. PDF Why Has Personality Psychology Played an Outsized Role in the If your paper is accepted and you need an invitation letter to apply for a visa to attend the conference, please contact conference@usenix.org as soon as possible. Further, Vegito can recover from cascading machine failures by using the columnar backup in less than 60 ms. The key to our solution, Horcrux, is to account for the non-determinism intrinsic to web page loads and the constraints placed by the browsers API for parallelism. OSDI will provide an opportunity for authors to respond to reviews prior to final consideration of the papers at the program committee meeting. The wire-to-wire RPC response time through the nanoPU is just 69ns, an order of magnitude quicker than the best-of-breed, low latency, commercial NICs. USENIX new Date().getFullYear()>document.write(new Date().getFullYear()); Grants for Black Computer Science Students Application, Propose an interesting, compelling solution, Demonstrate the practicality and benefits of the solution, Clearly describe the paper's contributions, Clearly articulate the advances beyond previous work. 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. Using selective profiling, we build DMon, a system that can automatically locate data locality problems in production, identify access patterns that hurt locality, and repair such patterns using targeted optimizations. Notification of conditional accept/reject for revisions: 3 March 2022. We describe Fluffy, a multi-transaction differential fuzzer for finding consensus bugs in Ethereum. USENIX Security '21 Summer Accepted Papers | USENIX 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. Most existing schedulers expect users to specify the number of resources for each job, often leading to inefficient resource use. The co-chairs may then share that paper with the workshops organizers and discuss it with them. Authors of each accepted paper must ensure that at least one author registers for the conference, and that their paper is presented in-person at the conference. Swapnil Gandhi and Anand Padmanabha Iyer, Microsoft Research. Our approach outperforms existing file systems on a block SSD by a wide margin 6.2 on average for metadata-intensive benchmarks. How can we design systems that will be reliable despite misbehaving participants? This motivates the need for a new approach to data privacy that can provide strong assurance and control to users. EuroSys 2021 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. This year, there were only 2 accepted papers from UK institutes. 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. In 2023 I started another two-year term on the . A.H. Hunter, Jane Street Capital; Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, and Parthasarathy Ranganathan, Google. . Academic and industrial participants present research and experience papers that cover the full range of theory and practice of computer . DeSearch then introduces a witness mechanism to make sure the completed tasks can be reused across different pipelines, and to make the final search results verifiable by end users. OSDI'21 accepted 31 papers and 26 papers participated in the AE, a significant increase in the participate ratio: 84%, compared to OSDI'20 (70%) and SOSP'19 (61%). Please identify yourself as a presenter and include your mailing address in your email. We discuss the design and implementation of TEMERAIRE including strategies for hugepage-aware memory layouts to maximize hugepage coverage and to minimize fragmentation overheads. 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% For general conference information, see https://www.usenix.org/conference/osdi22. 64 papers accepted out of 341 submitted. The paper review process is double-blind. In this paper, we propose a software-hardware co-design to support dynamic, fine-grained, large-scale secure memory as well as fast-initialization. Fluffy found two new consensus bugs in the most popular Geth Ethereum client which were exploitable on the live Ethereum mainnet. First, Fluffy mutates and executes multi-transaction test cases to find consensus bugs which cannot be found using existing fuzzers for Ethereum. Paper abstracts and proceedings front matter are available to everyone now. She has been recognized with many industry honors including induction into the National Academy of Engineering, the Inventor Hall of Fame, The Internet Hall of Fame, Washington State Academy of Science, and lifetime achievement awards from USENIX and SIGCOMM. This distinction forces a re-design of the scheduler. Used Zotero to organize papers about the stress and diffusion between anode and electrolyte and made a summary . We propose Marius, a system for efficient training of graph embeddings that leverages partition caching and buffer-aware data orderings to minimize disk access and interleaves data movement with computation to maximize utilization. However, a plethora of recent data breaches show that even widely trusted service providers can be compromised. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks Sponsored by USENIX in cooperation with ACM SIGOPS. Our evaluation shows that, compared to existing participant selection mechanisms, Oort improves time-to-accuracy performance by 1.2X-14.1X and final model accuracy by 1.3%-9.8%, while efficiently enforcing developer-specified model testing criteria at the scale of millions of clients. ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. SOSP 2021 - Symposium on Operating Systems Principles Welcome to the SOSP 2021 Website. Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. 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. Mothy's current research centers on Enzian, a powerful hybrid CPU/FPGA machine designed for research into systems software. However, your OSDI submission must use an anonymized name for your project or system that differs from any used in such contexts. Therefore, developers typically find data locality issues via dynamic profiling and repair them manually. Hence, kernel developers are constantly refining synchronization within OS kernels to improve scalability at the risk of introducing subtle bugs. We propose PET, the first DNN framework that optimizes tensor programs with partially equivalent transformations and automated corrections. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications. A glance at this year's OSDI program shows that Operating Systems are a small niche topic for this conference, not even meriting their own full session. Existing frameworks optimize tensor programs by applying fully equivalent transformations, which maintain equivalence on every element of output tensors. The novel aspect of the nanoPU is the design of a fast path between the network and applications---bypassing the cache and memory hierarchy, and placing arriving messages directly into the CPU register file. 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. 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. We demonstrate that Marius achieves the same level of accuracy but is up to one order of magnitude faster. Report - Systems Research Artifacts Foreshadow was chosen as an IEEE Micro Top Pick. Penglai also reduces the latency of secure memory initialization by three orders of magnitude and gains 3.6x speedup for real-world applications (e.g., MapReduce). A graph neural network (GNN) enables deep learning on structured graph data. Main conference program: 5-8 April 2022. In addition, CLP outperforms Elasticsearch and Splunk Enterprise's log ingestion performance by over 13x, and we show CLP scales to petabytes of logs. sosp ACM Symposium on Operating Systems Principles. OSDI brings together professionals from academic and industrial backgrounds in what has become a premier forum for discussing the design, implementation, and implications of systems software. 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. OSDI '21 Technical Sessions | USENIX She has a PhD in computer science from MIT. USENIX, like other scientific and technical conferences and journals, prohibits these practices and may, on the recommendation of a program chair, take action against authors who have committed them. Despite having the same end goals as traditional ML, FL executions differ significantly in scale, spanning thousands to millions of participating devices. For example, talks may be shorter than in prior years, or some parts of the conference may be multi-tracked. All deadline times are 23:59 hrs UTC. A hardware-accelerated thread scheduler makes sub-nanosecond decisions, leading to high CPU utilization and low tail response time for RPCs. Furthermore, such performance can be achieved without any modification in applications, network hardware, kernel CPU schedulers and/or kernel network stack. PET discovers and applies program transformations that improve computation efficiency but only maintain partial functional equivalence. We implement a variant of a log-structured merge tree in the storage device that not only indexes file objects, but also supports transactions and manages physical storage space. JEL codes: Q18, Q28, Q57 . Here, we focus on hugepage coverage. 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. Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, and Yufei Ding, University of California, Santa Barbara. Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University. We develop a prototype of Zeph on Apache Kafka to demonstrate that Zeph can perform large-scale privacy transformations with low overhead. Dorylus is up to 3.8 faster and 10.7 cheaper compared to existing sampling-based systems. Authors are also encouraged to contact the program co-chairs, osdi21chairs@usenix.org, if needed to relate their OSDI submissions to relevant submissions of their own that are simultaneously under review or awaiting publication at other venues. 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. We conclude with a discussion of additional techniques for improving the allocator development process and potential optimization strategies for future memory allocators. To help more profitably utilize sanitizers, we introduce SanRazor, a practical tool aiming to effectively detect and remove redundant sanitizer checks. VLDB 2021: Venue Tivoli Hotel & Congress Center Arni Magnussons Gade 2 1577 Copenhagen, Denmark +45 3268 4300 In-person attendees can purchase tickets for the park / gardens with a 15% discount, which is a special offer by Tivoli Hotel & Congress Center to VLDB 2021 attendees. 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. Because DistAI starts with the strongest possible invariants, if the SMT solver fails, DistAI does not need to discard failed invariants, but knows to monotonically weaken them and try again with the solver, repeating the process until it eventually succeeds. This post is for recording some notes from a few OSDI'21 papers that I got fun. SanRazor adopts a novel hybrid approach it captures both dynamic code coverage and static data dependencies of checks, and uses the extracted information to perform a redundant check analysis. We convert five state-of-the-art PM indexes using Nap. Consensus bugs are extremely rare but can be exploited for network split and theft, which cause reliability and security-critical issues in the Ethereum ecosystem. Zeph executes privacy-adhering data transformations in real-time and scales to thousands of data sources, allowing it to support large-scale low-latency data stream analytics. Cores can safely and concurrently read from their local kernel replica, eliminating remote NUMA accesses. 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. 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. Despite their extensive use for debugging and vulnerability discovery, sanitizer checks often induce a high runtime cost. Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. 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. Performance experiments show that GoNFS provides similar performance (e.g., at least 90% throughput across several benchmarks on an NVMe disk) to Linuxs NFS server exporting an ext4 file system, suggesting that GoJournal is a competitive journaling system.