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. Radia Perlman is a Fellow at Dell Technologies. 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. We present the results of a 1% experiment at fleet scale as well as the longitudinal rollout in Googles warehouse scale computers. These limitations require state-of-the-art systems to distribute training across multiple machines. OSDI is "a premier forum for discussing the design, implementation, and implications of systems software." A total of six research papers from the department were accepted to the . Such centralized engines are in a perfect position to censor content and violate users privacy, undermining some of the key tenets behind decentralization. Welcome to the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) submissions site. 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. CLP's gains come from using a tuned, domain-specific compression and search algorithm that exploits the significant amount of repetition in text logs. These are hard deadlines, and no extensions will be given. Thanks to selective profiling, DMons profiling overhead is 1.36% on average, making it feasible for production use. Additionally, there is no assurance that data processing and handling comply with the claimed privacy policies. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Paper abstracts and proceedings front matter are available to everyone now. My paper has accepted to appear in the EuroSys2020; I will have a talk at the Hotstorage'19; The Paper about GCMA Accepted to TC; The OSDI '21 program co-chairs have agreed not to submit their work to OSDI '21. Many application domains can benefit from hybrid transaction/analytical processing (HTAP) by executing queries on real-time datasets produced by concurrent transactions. In the Ethereum network, decentralized Ethereum clients reach consensus through transitioning to the same blockchain states according to the Ethereum specification. Machine learning (ML) models trained on personal data have been shown to leak information about users. If you submit a paper to either of those venues, you may not also submit it to OSDI 21. Editor in charge: Daniel Petrolia . Existing algorithms are designed to work well for certain workloads. Authors may submit a response to those reviews until Friday, March 5, 2021. 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 To this end, we propose GNNAdvisor, an adaptive and efficient runtime system to accelerate various GNN workloads on GPU platforms. Session Chairs: Moshe Gabel, University of Toronto, and Joseph Gonzalez, University of California, Berkeley, John Thorpe, Yifan Qiao, Jonathan Eyolfson, and Shen Teng, UCLA; Guanzhou Hu, UCLA and University of Wisconsin, Madison; Zhihao Jia, CMU; Jinliang Wei, Google Brain; Keval Vora, Simon Fraser; Ravi Netravali, Princeton University; Miryung Kim and Guoqing Harry Xu, UCLA. In some cases, the quality of these artifacts is as important as that of the document itself. 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 yielded 6% fewer TLB miss stalls, and 26% reduction in memory wasted due to fragmentation. 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. 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. 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. OSDI 2021 papers summary. This post is for recording some notes from a few OSDI'21 papers that I got fun. Yet, existing efforts randomly select FL participants, which leads to poor model and system efficiency. The biennial ACM Symposium on Operating Systems Principles is the world's premier forum for researchers, developers, programmers, and teachers of computer systems technology. The conference papers and full proceedings are available to registered attendees now and will be available to everyone beginning Wednesday, July 14, 2021. We demonstrate that Marius achieves the same level of accuracy but is up to one order of magnitude faster. She is the author of the textbook Interconnections (about network layers 2 and 3) and coauthor of Network Security. 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. 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. We will look at various problems and approaches, and for each, see if blockchain would help. 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. Password For realistic workloads, KEVIN improves throughput by 68% on average. This paper presents Zeph, a system that enables users to set privacy preferences on how their data can be shared and processed. In this talk, I'll speculate on how we came to this unfortunate state of affairs, and what might be done to fix it. 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. The blockchain community considers this hard fork the greatest challenge since the infamous 2016 DAO hack. 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. Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, and Yufei Ding, University of California, Santa Barbara. Grand Rapids, Michigan, United States . For general conference information, see https://www.usenix.org/conference/osdi22. Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. 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. Swapnil Gandhi and Anand Padmanabha Iyer, Microsoft Research. 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). Today, privacy controls are enforced by data curators with full access to data in the clear. Third, GNNAdvisor capitalizes on the GPU memory hierarchy for acceleration by gracefully coordinating the execution of GNNs according to the characteristics of the GPU memory structure and GNN workloads. This is especially true for DPF over Rnyi DP, a highly composable form of DP. While compiler-based techniques have been proposed to improve data locality, they depend on heuristics, which can sometimes hurt performance. Collaboration: You have a collaboration on a project, publication, grant proposal, program co-chairship, or editorship within the past two years (December 2018 through March 2021). The chairs will review paper conflicts to ensure the integrity of the reviewing process, adding or removing conflicts if necessary. However, your OSDI submission must use an anonymized name for your project or system that differs from any used in such contexts. After request completion, an I/O device must decide either to minimize latency by immediately firing an interrupt or to optimize for throughput by delaying the interrupt, anticipating that more requests will complete soon and help amortize the interrupt cost. Indeed, it is a prime target for powerful adversaries such as nation states. Session Chairs: Gennady Pekhimenko, University of Toronto / Vector Institute, and Shivaram Venkataraman, University of WisconsinMadison, Aurick Qiao, Petuum, Inc. and Carnegie Mellon University; Sang Keun Choe and Suhas Jayaram Subramanya, Carnegie Mellon University; Willie Neiswanger, Petuum, Inc. and Carnegie Mellon University; Qirong Ho, Petuum, Inc.; Hao Zhang, Petuum, Inc. and UC Berkeley; Gregory R. Ganger, Carnegie Mellon University; Eric P. Xing, MBZUAI, Petuum, Inc., and Carnegie Mellon University. PET then automatically corrects results to restore full equivalence. Youngseok Yang, Seoul National University; Taesoo Kim, Georgia Institute of Technology; Byung-Gon Chun, Seoul National University and FriendliAI. Paper abstracts and proceedings front matter are available to everyone now. 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. sosp ACM Symposium on Operating Systems Principles. 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. Zeph enforces privacy policies cryptographically and ensures that data available to third-party applications complies with users' privacy policies. Here, we focus on hugepage coverage. DistAI generates data by simulating the distributed protocol at different instance sizes and recording states as samples. We present case studies and end-to-end applications that show how Storm lets developers specify diverse policies while centralizing the trusted code to under 1% of the application, and statically enforces security with modest type annotation overhead, and no run-time cost. A graph neural network (GNN) enables deep learning on structured graph data. The 15th USENIX Symposium on Operating Systems Design and Implementation seeks to present innovative, exciting research in computer systems. Upon these two primitives, our system can scale to thousands of concurrent enclaves with high resource utilization and eliminate the high-cost initialization of secure memory using fork-style enclave creation without weakening the security guarantees. 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. If the conference registration fee will pose a hardship for the presenter of the accepted paper, please contact conference@usenix.org. 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. DMon speeds up PostgreSQL, one of the most popular database systems, by 6.64% on average (up to 17.48%). KEVIN combines a fast, lightweight, and POSIX compliant file system with a key-value storage device that performs in-storage indexing. 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. 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. Concretely, Dorylus is 1.22 faster and 4.83 cheaper than GPU servers for massive sparse graphs. 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. Starting with small invariant formulas and strongest possible invariants avoids large SMT queries, improving SMT solver performance. Devices employ adaptive interrupt coalescing heuristics that try to balance between these opposing goals. 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. This motivates the need for a new approach to data privacy that can provide strong assurance and control to users. 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. If in doubt about whether your submission to OSDI 2021 and your upcoming submission to SOSP are the same paper or not, please contact the PC chairs by email. 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. Further, Vegito can recover from cascading machine failures by using the columnar backup in less than 60 ms. 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. Jason Mohoney and Roger Waleffe, University of WisconsinMadison; Henry Xu, University of Maryland, College Park; Theodoros Rekatsinas and Shivaram Venkataraman, University of WisconsinMadison. We present NrOS, a new OS kernel with a safer approach to synchronization that runs many POSIX programs. This is the first OSDI in an odd year as OSDI moves to a yearly cadence. Session Chairs: Ryan Huang, Johns Hopkins University, and Manos Kapritsos, University of Michigan, Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh, Suman Jana, and Gabriel Ryan, Columbia University. Sep 2021 - Present 1 year 7 months. 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 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. Second, Fluffy uses multiple existing Ethereum clients that independently implement the specification as cross-referencing oracles. Please identify yourself as a presenter and include your mailing address in your email. Pollux simultaneously considers both aspects. We evaluate PrivateKube and DPF on microbenchmarks and an ML workload on Amazon Reviews data. 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. 23 artifacts received the Artifacts Functional badge (88%). Papers accompanied by nondisclosure agreement forms will not be considered. 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. Alas, existing profiling techniques incur high overhead when used to identify data locality problems and cannot be deployed in production, where programs may exhibit previously-unseen performance problems. 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. The symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation. 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. We also propose two file system techniques for ZNS+-aware LFS. See the USENIX Conference Submissions Policy for details. 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. Moreover, to handle dynamic workloads, Nap adopts a fast NAL switch mechanism. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications. If your accepted paper should not be published prior to the event, please notify production@usenix.org. We also verified a simple NFS server using GoJournals specs, which confirms that they are helpful for application verification: a significant part of the proof doesnt have to consider concurrency and crashes. This is unfortunate because good OS design has always been driven by the underlying hardware, and right now that hardware is almost unrecognizable from ten years ago, let alone from the 1960s when Unix was written. The abstractions we design for the privacy resource mirror those defined by Kubernetes for traditional resources, but there are also major differences. This approach misses possible optimization opportunities as transformations that only preserve equivalence on subsets of the output tensors are excluded. We present TEMERAIRE, a hugepage-aware enhancement of TCMALLOC to reduce CPU overheads in the applications code. 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. 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. Submission of a response is optional. 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. Using this property, MAGE calculates the memory access pattern ahead of time and uses it to produce a memory management plan. 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. Authors must limit their responses to (a) correcting factual errors in the reviews or (b) directly addressing questions posed by reviewers. 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. Welcome to the SOSP 2021 Website. They collectively make the backup fresh, columnar, and fault-tolerant, even facing millions of concurrent transactions per second. If you have any questions about conflicts, please contact the program co-chairs. Furthermore, to enable automatic runtime optimization, GNNAdvisor incorporates a lightweight analytical model for an effective design parameter search. Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks Currently, for large graphs, CPU servers offer the best performance-per-dollar over GPU servers. Memory allocation represents significant compute cost at the warehouse scale and its optimization can yield considerable cost savings. 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. We conclude with a discussion of additional techniques for improving the allocator development process and potential optimization strategies for future memory allocators. 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. Typically, monolithic kernels share state across cores and rely on one-off synchronization patterns that are specialized for each kernel structure or subsystem. . We develop a prototype of Zeph on Apache Kafka to demonstrate that Zeph can perform large-scale privacy transformations with low overhead. (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. One classical approach is to increase the efficiency of an allocator to minimize the cycles spent in the allocator code. 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. 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. Contact your program co-chairs, osdi21chairs@usenix.org, or the USENIX office, submissionspolicy@usenix.org. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Professor Veloso earned a Bachelor and Master of Science degrees in Electrical and Computer Engineering from Instituto Superior Tecnico in Lisbon, Portugal, a Master of Arts in Computer Science from Boston University, and Master of Science and PhD in Computer Science from Carnegie Mellon University. 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. 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. See the Preview Session page for an overview of the topics covered in the program. Forgot your password? ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. will work with the steering committee to ensure that the symposium program will accommodate presentations for all accepted papers. Unfortunately, because devices lack the semantic information about which I/O requests are latency-sensitive, these heuristics can sometimes lead to disastrous results. PET discovers and applies program transformations that improve computation efficiency but only maintain partial functional equivalence. Accepted papers will be allowed 14 pages in the proceedings, plus references. We convert five state-of-the-art PM indexes using Nap. Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, and Roxana Geambasu, Columbia University; Mathias Lcuyer, Microsoft Research. The conference papers and full proceedings are available to registered attendees now and will be available to everyone beginning Wednesday, July 14, 2021. Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University. A.H. Hunter, Jane Street Capital; Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, and Parthasarathy Ranganathan, Google. Welcome to the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI '22) submissions site. 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. 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. Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. 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. Existing decentralized systems like Steemit, OpenBazaar, and the growing number of blockchain apps provide alternatives to existing services. Only two types of supplementary material are permitted: source code described in the paper and formal proofs sketched in the paper. Author Response Period (Jan 2019) Our REPT paper won a best paper at OSDI'18 (Oct 2018) I will serve in the SOSP'19 PC. Authors are required to register abstracts by 3:00 p.m. PST on December 3, 2020, and to submit full papers by 3:00 p.m. PST on December 10, 2020. The full program will be available in May 2021. PC members are not required to read supplementary material when reviewing the paper, so each paper should stand alone without it. 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. 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 . Pages should be numbered, and figures and tables should be legible in black and white, without requiring magnification. Concurrency control algorithms are key determinants of the performance of in-memory databases. 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. Questions? And yet, they continue to rely on centralized search engines and indexers to help users access the content they seek and navigate the apps. Proceedings Front Matter 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. High-performance tensor programs are critical for efficiently deploying deep neural network (DNN) models in real-world tasks. 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. We present Nap, a black-box approach that converts concurrent persistent memory (PM) indexes into NUMA-aware counterparts. Conference site 49 papers accepted out of 251 submitted. Metadata from voice calls, such as the knowledge of who is communicating with whom, contains rich information about peoples lives. 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. Just using Lambdas on top of CPU servers offers up to 2.75 more performance-per-dollar than training only with CPU servers. Academic and industrial participants present research and experience papers that cover the full range of theory . However, a plethora of recent data breaches show that even widely trusted service providers can be compromised. Hence, kernel developers are constantly refining synchronization within OS kernels to improve scalability at the risk of introducing subtle bugs. 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. Jiang Zhang, University of Southern California; Shuai Wang, HKUST; Manuel Rigger, Pinjia He, and Zhendong Su, ETH Zurich. 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 present application studies for 8 applications, improving requests-per-second (RPS) by 7.7% and reducing RAM usage 2.4%. We propose PET, the first DNN framework that optimizes tensor programs with partially equivalent transformations and automated corrections. MAGE outperforms the OS virtual memory system by up to an order of magnitude, and in many cases, runs SC computations that do not fit in memory at nearly the same speed as if the underlying machines had unbounded physical memory to fit the entire computation. Second, it innovates on the underlying cryptographic machinery and constructs a new private information retrieval scheme, FastPIR, that reduces the time to process oblivious access requests for mailboxes. 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. The 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) will take place as a virtual event on July 1416, 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.
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