Kirk Rodrigues, Yu Luo, and Ding Yuan, University of Toronto and YScope Inc. 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. Pollux promotes fairness among DL jobs competing for resources based on a more meaningful measure of useful job progress, and reveals a new opportunity for reducing DL cost in cloud environments. All deadline times are 23:59 hrs UTC. The blockchain community considers this hard fork the greatest challenge since the infamous 2016 DAO hack. Pollux improves scheduling performance in deep learning (DL) clusters by adaptively co-optimizing inter-dependent factors both at the per-job level and at the cluster-wide level. P3 exposes a simple API that captures many different classes of GNN architectures for generality. We present Nap, a black-box approach that converts concurrent persistent memory (PM) indexes into NUMA-aware counterparts. Simultaneous submission of the same work to multiple venues, submission of previously published work, or plagiarism constitutes dishonesty or fraud. Responses should be limited to clarifying the submitted work. Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Oort: Efficient Federated Learning via Guided Participant Selection, PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections, Modernizing File System through In-Storage Indexing, Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes, Rearchitecting Linux Storage Stack for s Latency and High Throughput, Optimizing Storage Performance with Calibrated Interrupts, ZNS+: Advanced Zoned Namespace Interface for Supporting In-Storage Zone Compaction, DMon: Efficient Detection and Correction of Data Locality Problems Using Selective Profiling, CLP: Efficient and Scalable Search on Compressed Text Logs, Polyjuice: High-Performance Transactions via Learned Concurrency Control, Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing, The nanoPU: A Nanosecond Network Stack for Datacenters, Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator, Scalable Memory Protection in the PENGLAI Enclave, NrOS: Effective Replication and Sharing in an Operating System, Addra: Metadata-private voice communication over fully untrusted infrastructure, Bringing Decentralized Search to Decentralized Services, Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing, MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation, Zeph: Cryptographic Enforcement of End-to-End Data Privacy, It's Time for Operating Systems to Rediscover Hardware, DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols, GoJournal: a verified, concurrent, crash-safe journaling system, STORM: Refinement Types for Secure Web Applications, Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation, SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs, Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads, GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs, Marius: Learning Massive Graph Embeddings on a Single Machine, P3: Distributed Deep Graph Learning at Scale. For more details on the submission process, and for templates to use with LaTeX, Word, etc., authors should consult the detailed submission requirements. In particular, I'll argue for re-engaging with what computer hardware really is today and give two suggestions (among many) about how the OS research community can usefully do this, and exploit what is actually a tremendous opportunity. For realistic workloads, KEVIN improves throughput by 68% on average. We present selective profiling, a technique that locates data locality problems with low-enough overhead that is suitable for production use. Prior or concurrent workshop publication does not preclude publishing a related paper in OSDI. Authors must limit their responses to (a) correcting factual errors in the reviews or (b) directly addressing questions posed by reviewers. Authors should email the program co-chairs, osdi21chairs@usenix.org, a copy of the related workshop paper and a short explanation of the new material in the conference paper beyond that published in the workshop version. Notification of conditional accept/reject for revisions: 3 March 2022. 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. Submitted November 12, 2021 Accepted January 20, 2022. JEL codes: Q18, Q28, Q57 . For conference information, . 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. 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. 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. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are expensive to purchase and maintain, and 2) limited memory on GPUs cannot scale to today's billion-edge graphs. . We demonstrate that Marius achieves the same level of accuracy but is up to one order of magnitude faster. Moreover, to handle dynamic workloads, Nap adopts a fast NAL switch mechanism. Petuum Awarded OSDI 2021 Best Paper for Goodput-Optimized Deep Learning Research Petuum CASL research and engineering team's Pollux technical paper on adaptive scheduling for optimized. GoJournal is implemented in Go, and Perennial is implemented in the Coq proof assistant. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Distributed systems are notoriously hard to implement correctly due to non-determinism. Radia Perlman is a Fellow at Dell Technologies. We present the results of a 1% experiment at fleet scale as well as the longitudinal rollout in Googles warehouse scale computers. Accepted papers will be allowed 14 pages in the proceedings, plus references. Submission of a response is optional. Marius is open-sourced at www.marius-project.org. To adapt to different workloads, prior works mix or switch between a few known algorithms using manual insights or simple heuristics. Compared to existing baselines, DPF allows training more models under the same global privacy guarantee. Hence, CLP enables efficient search and analytics on archived logs, something that was impossible without it. Papers must be in PDF format and must be submitted via the submission form. While several new GNN architectures have been proposed, the scale of real-world graphsin many cases billions of nodes and edgesposes challenges during model training. Most existing schedulers expect users to specify the number of resources for each job, often leading to inefficient resource use. 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. 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. Paper abstracts and proceedings front matter are available to everyone now. Memory allocation represents significant compute cost at the warehouse scale and its optimization can yield considerable cost savings. This motivates the need for a new approach to data privacy that can provide strong assurance and control to users. 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. 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. We present the nanoPU, a new NIC-CPU co-design to accelerate an increasingly pervasive class of datacenter applications: those that utilize many small Remote Procedure Calls (RPCs) with very short (s-scale) processing times. ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks The OSDI Symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation. KEVIN combines a fast, lightweight, and POSIX compliant file system with a key-value storage device that performs in-storage indexing. The co-chairs may then share that paper with the workshops organizers and discuss it with them. We have made Fluffy publicly available at https://github.com/snuspl/fluffy to contribute to the security of Ethereum. Used Zotero to organize papers about the stress and diffusion between anode and electrolyte and made a summary . 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. To remedy this, we introduce DeSearch, the first decentralized search engine that guarantees the integrity and privacy of search results for decentralized services and blockchain apps. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. Additionally, there is no assurance that data processing and handling comply with the claimed privacy policies. To evaluate the security guarantees of Storm, we build a formally verified reference implementation using the Labeled IO (LIO) IFC framework. 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. Of the 26 submitted artifacts: 26 artifacts received the Artifacts Available badge (100%). Advisor: You have a past or present association as thesis advisor or advisee. For example, optimistic concurrency control (OCC) is better than two-phase-locking (2PL) under low contention, while the converse is true under high contention. When registering your abstract, you must provide information about conflicts with PC members. This yielded 6% fewer TLB miss stalls, and 26% reduction in memory wasted due to fragmentation. 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. We present Storm, a web framework that allows developers to build MVC applications with compile-time enforcement of centrally specified data-dependent security policies. Just using Lambdas on top of CPU servers offers up to 2.75 more performance-per-dollar than training only with CPU servers. Prior or concurrent publication in non-peer-reviewed contexts, like arXiv.org, technical reports, talks, and social media posts, is permitted. USENIX discourages program co-chairs from submitting papers to the conferences they organize, although they are allowed to do so. You must not improperly identify a PC member as a conflict if none of these three circumstances applies, even if for some other reason you want to avoid them reviewing your paper. We argue that a key-value interface between a file system and an SSD is superior to the legacy block interface by presenting KEVIN. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. Machine learning (ML) models trained on personal data have been shown to leak information about users. Table of Contents | However, your OSDI submission must use an anonymized name for your project or system that differs from any used in such contexts. We evaluate PrivateKube and DPF on microbenchmarks and an ML workload on Amazon Reviews data. The full program will be available in May 2021. Her specialties include network routing protocols and network security. 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. The conference papers and full proceedings are available to registered attendees now and will be available to everyone beginning Wednesday, July 14, 2021. Welcome to the 2021 USENIX Annual Technical Conference (ATC '21) submissions site! We present TEMERAIRE, a hugepage-aware enhancement of TCMALLOC to reduce CPU overheads in the applications code. Concurrency control algorithms are key determinants of the performance of in-memory databases. 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. 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. 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. 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. And yet, they continue to rely on centralized search engines and indexers to help users access the content they seek and navigate the apps. However, the existing one-size-fits-all GNN implementations are insufficient to catch up with the evolving GNN architectures, the ever-increasing graph size, and the diverse node embedding dimensionality. The file system performance of the proposed ZNS+ storage system was 1.33--2.91 times better than that of the normal ZNS-based storage system. Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. As a result, data characteristics and device capabilities vary widely across clients. 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. Academic and industrial participants present research and experience papers that cover the full range of theory . Please identify yourself as a presenter and include your mailing address in your email. (Registered attendees: Sign in to your USENIX account to download these files. USENIX Security '21 has three submission deadlines. 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. We prove that DistAI is guaranteed to find the -free inductive invariant that proves the desired safety properties in finite time, if one exists. When uploading your OSDI 2021 reviews for your submission to SOSP, you can optionally append a note about how you addressed the reviews and comments. In particular, responses must not include new experiments or data, describe additional work completed since submission, or promise additional work to follow. Further, Vegito can recover from cascading machine failures by using the columnar backup in less than 60 ms. Conference Dates: Apr 12, 2021 - Apr 14, 2021. Compared to a state-of-the-art fuzzer, Fluffy improves the fuzzing throughput by 510 and the code coverage by 2.7 with various optimizations: in-process fuzzing, fuzzing harnesses for Ethereum clients, and semantic-aware mutation that reduces erroneous test cases. PET then automatically corrects results to restore full equivalence. PLDI seeks outstanding research that extends and/or applies programming-language concepts to advance the field of computing. 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. We built a functional NFSv3 server, called GoNFS, to use GoJournal. Pollux simultaneously considers both aspects. Therefore, developers typically find data locality issues via dynamic profiling and repair them manually. HotCRP.com signin Sign in using your HotCRP.com account. 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). 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. One classical approach is to increase the efficiency of an allocator to minimize the cycles spent in the allocator code. In addition, increasing CPU core counts further complicate kernel development. See the USENIX Conference Submissions Policy for details. 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. 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. 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. This fast path contains programmable hardware support for low latency transport and congestion control as well as hardware support for efficient load balancing of RPCs to cores. See the Preview Session page for an overview of the topics covered in the program. PC members are not required to read supplementary material when reviewing the paper, so each paper should stand alone without it. We develop a prototype of Zeph on Apache Kafka to demonstrate that Zeph can perform large-scale privacy transformations with low overhead. 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 develop MAGE, an execution engine for SC that efficiently runs SC computations that do not fit in memory. For general conference information, see https://www.usenix.org/conference/osdi22. We have implemented a prototype of our design based on Penglai, an open-sourced enclave system for RISC-V. 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%). Yet, existing efforts randomly select FL participants, which leads to poor model and system efficiency. Here, we focus on hugepage coverage. 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. However, a plethora of recent data breaches show that even widely trusted service providers can be compromised. Paper Submission Information All submissions must be received by 11:59 PM AoE (UTC-12) on the day of the corresponding deadline. We present application studies for 8 applications, improving requests-per-second (RPS) by 7.7% and reducing RAM usage 2.4%. This is especially true for DPF over Rnyi DP, a highly composable form of DP. Our evaluation shows that DistAI successfully verifies 13 common distributed protocols automatically and outperforms alternative methods both in the number of protocols it verifies and the speed at which it does so, in some cases by more than two orders of magnitude. This formulation of memory management, which we call memory programming, is a generalization of paging that allows MAGE to provide a highly efficient virtual memory abstraction for SC. Proceedings Front Matter 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. 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. Call for Papers. While verifying GoJournal, we found one serious concurrency bug, even though GoJournal has many unit tests. 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. Existing systems that hide voice call metadata either require trusted intermediaries in the network or scale to only tens of users. Sijie Shen, Rong Chen, Haibo Chen, and Binyu Zang, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China. Fluffy found two new consensus bugs in the most popular Geth Ethereum client which were exploitable on the live Ethereum mainnet. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings. 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. Existing decentralized systems like Steemit, OpenBazaar, and the growing number of blockchain apps provide alternatives to existing services. USENIX new Date().getFullYear()>document.write(new Date().getFullYear()); Grants for Black Computer Science Students Application, Title Page, Copyright Page, and List of Organizers, OSDI '21 Proceedings Interior (PDF, best for mobile devices). 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. 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. Existing algorithms are designed to work well for certain workloads. We propose PET, the first DNN framework that optimizes tensor programs with partially equivalent transformations and automated corrections. This kernel is scaled across NUMA nodes using node replication, a scheme inspired by state machine replication in distributed systems. Erhu Feng, Xu Lu, Dong Du, Bicheng Yang, and Xueqiang Jiang, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China; Yubin Xia, Binyu Zang, and 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. These limitations require state-of-the-art systems to distribute training across multiple machines. 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). PLDI is a premier forum for programming language research, broadly construed, including design, implementation, theory, applications, and performance. 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 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. Sam Kumar, David E. Culler, and Raluca Ada Popa, University of California, Berkeley. Copyright to the individual works is retained by the author[s]. Instead of choosing among a small number of known algorithms, our approach searches in a "policy space" of fine-grained actions, resulting in novel algorithms that can outperform existing algorithms by specializing to a given workload. Main conference program: 5-8 April 2022. 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. There is no explicit limit to the response, but authors are strongly encouraged to keep it under 500 words; reviewers are neither required nor expected to read excessively long responses. Although SSDs can be simplified under the current ZNS interface, its counterpart LFS must bear segment compaction overhead. 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. Authors may use this for content that may be of interest to some readers but is peripheral to the main technical contributions of the paper. Submitted papers must be no longer than 12 single-spaced 8.5 x 11 pages, including figures and tables, plus as many pages as needed for references, using 10-point type on 12-point (single-spaced) leading, two-column format, Times Roman or a similar font, within a text block 7 wide x 9 deep.
2 Bedroom Apartments In Lexington, Sc,
Oven Fried Fish With Louisiana Fish Fry,
Fairlake West Virginia Disappearance,
Can I Get A Tattoo After Rhinoplasty,
Articles O