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. Evaluation on a four-node machine with Optane DC Persistent Memory shows that Nap can improve the throughput by up to 2.3 and 1.56 under write-intensive and read-intensive workloads, respectively. Radia Perlman is a Fellow at Dell Technologies. Log search and log archiving, despite being critical problems, are mutually exclusive. 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. 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. Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. This distinction forces a re-design of the scheduler. Marius is open-sourced at www.marius-project.org. NrOS replicates kernel state on each NUMA node and uses operation logs to maintain strong consistency between replicas. We also show that Marius can scale training to datasets an order of magnitude beyond a single machine's GPU and CPU memory capacity, enabling training of configurations with more than a billion edges and 550 GB of total parameters on a single machine with 16 GB of GPU memory and 64 GB of CPU memory. Attaching supplementary material is optional; if your paper says that you have source code or formal proofs, you need not attach them to convince the PC of their existence. (Visa applications can take at least 30 working days to process.) CLP's gains come from using a tuned, domain-specific compression and search algorithm that exploits the significant amount of repetition in text logs. Hence, CLP enables efficient search and analytics on archived logs, something that was impossible without it. We demonstrate that Marius achieves the same level of accuracy but is up to one order of magnitude faster. 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. 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. Manuela will present examples and discuss the scope of AI in her research in the finance domain. In addition, CLP outperforms Elasticsearch and Splunk Enterprise's log ingestion performance by over 13x, and we show CLP scales to petabytes of logs. Secure hardware enclaves have been widely used for protecting security-critical applications in the cloud. 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 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 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. 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. Jiachen Wang, 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; Ding Ding, Department of Computer Science, New York University; Huan Wang, 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; Conrad Christensen, Department of Computer Science, New York University; Zhaoguo Wang 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; Jinyang Li, Department of Computer Science, New York 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. In this talk, I'll speculate on how we came to this unfortunate state of affairs, and what might be done to fix it. Paper abstracts and proceedings front matter are available to everyone now. Reviews will be available for response on Wednesday, March 3, 2021. The co-chairs may then share that paper with the workshops organizers and discuss it with them. . DistAI generates data by simulating the distributed protocol at different instance sizes and recording states as samples. 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. Research Impact Score 9.24. . See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications. Paper abstracts and proceedings front matter are available to everyone now. We present application studies for 8 applications, improving requests-per-second (RPS) by 7.7% and reducing RAM usage 2.4%. 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. This budget is a scarce resource that must be carefully managed to maximize the number of successfully trained models. 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. In particular, responses must not include new experiments or data, describe additional work completed since submission, or promise additional work to follow. Such centralized engines are in a perfect position to censor content and violate users privacy, undermining some of the key tenets behind decentralization. USENIX Security '21 has three submission deadlines. 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. Concretely, Dorylus is 1.22 faster and 4.83 cheaper than GPU servers for massive sparse graphs. 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. 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. Welcome to the 2021 USENIX Annual Technical Conference (ATC '21) submissions site! However, Addra improves message latency in this architecture, which is a key performance metric for voice calls. PLDI is a premier forum for programming language research, broadly construed, including design, implementation, theory, applications, and performance. This approach misses possible optimization opportunities as transformations that only preserve equivalence on subsets of the output tensors are excluded. Starting with small invariant formulas and strongest possible invariants avoids large SMT queries, improving SMT solver performance. PC members are not required to read supplementary material when reviewing the paper, so each paper should stand alone without it. Metadata from voice calls, such as the knowledge of who is communicating with whom, contains rich information about peoples lives. One classical approach is to increase the efficiency of an allocator to minimize the cycles spent in the allocator code. 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. 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. Welcome to the 2021 USENIX Annual Technical Conference (ATC '21) submissions site! 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. To help more profitably utilize sanitizers, we introduce SanRazor, a practical tool aiming to effectively detect and remove redundant sanitizer checks. The symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation. DMon speeds up PostgreSQL, one of the most popular database systems, by 6.64% on average (up to 17.48%). Compared to existing baselines, DPF allows training more models under the same global privacy guarantee. 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). They collectively make the backup fresh, columnar, and fault-tolerant, even facing millions of concurrent transactions per second. The NAL eliminates remote PM accesses to hot items without inducing extra local PM accesses. We argue that a key-value interface between a file system and an SSD is superior to the legacy block interface by presenting KEVIN. The paper review process is double-blind. Sam Kumar, David E. Culler, and Raluca Ada Popa, University of California, Berkeley. We will look at various problems and approaches, and for each, see if blockchain would help. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks If you submit a paper to either of those venues, you may not also submit it to OSDI 21. Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University. 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. 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). Abstract registrations that do not provide sufficient information to understand the topic and contribution (e.g., empty abstracts, placeholder abstracts, or trivial abstracts) will be rejected, thereby precluding paper submission. Authors may submit a response to those reviews until Friday, March 5, 2021. Call for Papers. As the emerging trend of graph-based deep learning, Graph Neural Networks (GNNs) excel for their capability to generate high-quality node feature vectors (embeddings). In this paper, we propose Oort to improve the performance of federated training and testing with guided participant selection. 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. To resolve the problem, we propose a new LFS-aware ZNS interface, called ZNS+, and its implementation, where the host can offload data copy operations to the SSD to accelerate segment compaction. Just using Lambdas on top of CPU servers offers up to 2.75 more performance-per-dollar than training only with CPU servers. Here, we focus on hugepage coverage. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Papers so short as to be considered extended abstracts will not receive full consideration. We implemented the ZNS+ SSD at an SSD emulator and a real SSD. Machine learning (ML) models trained on personal data have been shown to leak information about users. She is the author of the textbook Interconnections (about network layers 2 and 3) and coauthor of Network Security. 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. Authors must limit their responses to (a) correcting factual errors in the reviews or (b) directly addressing questions posed by reviewers. 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. 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. To this end, we propose GNNAdvisor, an adaptive and efficient runtime system to accelerate various GNN workloads on GPU platforms. 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. People often assume that blockchain has Byzantine robustness, so adding it to any system will make that system super robust against any calamity. See the USENIX Conference Submissions Policy for details. Sep 2021 - Present 1 year 7 months. (Registered attendees: Sign in to your USENIX account to download these files. 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. 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. Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, and Yufei Ding, University of California, Santa Barbara. 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. 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. Prepublication versions of the accepted papers from the summer submission deadline are available below. Further, Vegito can recover from cascading machine failures by using the columnar backup in less than 60 ms. For general conference information, see https://www . The papers will be available online to everyone beginning on the first day of the conference, July 14, 2021. She has a PhD in computer science from MIT. 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. We present Storm, a web framework that allows developers to build MVC applications with compile-time enforcement of centrally specified data-dependent security policies. Dorylus is up to 3.8 faster and 10.7 cheaper compared to existing sampling-based systems. The biennial ACM Symposium on Operating Systems Principles is the world's premier forum for researchers, developers, programmers, and teachers of computer systems technology. We present DistAI, a data-driven automated system for learning inductive invariants for distributed protocols. These are hard deadlines, and no extensions will be given. NrOS is primarily constructed as a simple, sequential kernel with no concurrency, making it easier to develop and reason about its correctness. And yet, they continue to rely on centralized search engines and indexers to help users access the content they seek and navigate the apps. When registering your abstract, you must provide information about conflicts with PC members. 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. 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. We describe PrivateKube, an extension to the popular Kubernetes datacenter orchestrator that adds privacy as a new type of resource to be managed alongside other traditional compute resources, such as CPU, GPU, and memory. Consensus bugs are bugs that make Ethereum clients transition to incorrect blockchain states and fail to reach consensus with other clients. The 15th USENIX Symposium on Operating Systems Design and Implementation seeks to present innovative, exciting research in computer systems. The hybrid segment recycling chooses a proper block reclaiming policy between segment compaction and threaded logging based on their costs. Papers accompanied by nondisclosure agreement forms will not be considered. 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. 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. Sat, Aug 7, 2021 3 min read researches review. If the conference registration fee will pose a hardship for the presenter of the accepted paper, please contact conference@usenix.org. A.H. Hunter, Jane Street Capital; Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, and Parthasarathy Ranganathan, Google. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. Today, privacy controls are enforced by data curators with full access to data in the clear. HotNets provides a venue for discussing innovative ideas and for debating future research agendas in networking. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. Indeed, it is a prime target for powerful adversaries such as nation states. We first introduce two new hardware primitives: 1) Guarded Page Table (GPT), which protects page table pages to support page-level secure memory isolation; 2) Mountable Merkle Tree (MMT), which supports scalable integrity protection for secure memory. Based on this observation, P3 proposes a new approach for distributed GNN training. Researchers from the Software Systems Laboratory bagged a Best Paper Award at the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2021). She developed the technology for making network routing self-stabilizing, largely self-managing, and scalable. 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. Grand Rapids, Michigan, United States . 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. Table of Contents | For instance, FAST 21 and NSDI 21 have author-notification dates after the OSDI 21 abstract-registration deadline. We prove that DistAI is guaranteed to find the -free inductive invariant that proves the desired safety properties in finite time, if one exists. Furthermore, by combining SanRazor with an existing sanitizer reduction tool ASAP, we show synergistic effect by reducing the runtime cost to only 7.0% with a reasonable tradeoff of security. To achieve low overhead, selective profiling gathers runtime execution information selectively and incrementally. For any further information, please contact the PC chairs: pc-chairs-2022@eurosys.org. The 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) will take place as a virtual event on July 1416, 2021. 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. OSDI will provide an opportunity for authors to respond to reviews prior to final consideration of the papers at the program committee meeting. 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 . 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. 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. 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. Session Chairs: Dushyanth Narayanan, Microsoft Research, and Gala Yadgar, TechnionIsrael Institute of Technology, Jinhyung Koo, Junsu Im, Jooyoung Song, and Juhyung Park, DGIST; Eunji Lee, Soongsil University; Bryan S. Kim, Syracuse University; Sungjin Lee, DGIST. In this paper, we show how to address this inefficiency without requiring pages to be rewritten or browsers to be modified. If you have any questions about conflicts, please contact the program co-chairs. We also propose two file system techniques for ZNS+-aware LFS. We observe that, due to their intended security guarantees, SC schemes are inherently oblivioustheir memory access patterns are independent of the input data. 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. Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. 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. 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. 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 evaluate PrivateKube and DPF on microbenchmarks and an ML workload on Amazon Reviews data. The chairs will review paper conflicts to ensure the integrity of the reviewing process, adding or removing conflicts if necessary. ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. Commonly used log archival and compression tools like Gzip provide high compression ratio, yet searching archived logs is a slow and painful process as it first requires decompressing the logs. 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). 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. We demonstrate the above using design, implementation and evaluation of blk-switch, a new Linux kernel storage stack architecture.
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