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. In this paper, we present Vegito, a distributed in-memory HTAP system that embraces freshness and performance with the following three techniques: (1) a lightweight gossip-style scheme to apply logs on backups consistently; (2) a block-based design for multi-version columnar backups; (3) a two-phase concurrent updating mechanism for the tree-based index of backups. Just using Lambdas on top of CPU servers offers up to 2.75 more performance-per-dollar than training only with CPU servers. We built a functional NFSv3 server, called GoNFS, to use GoJournal. High-performance tensor programs are critical for efficiently deploying deep neural network (DNN) models in real-world tasks. This kernel is scaled across NUMA nodes using node replication, a scheme inspired by state machine replication in distributed systems. Evaluations show that Vegito can perform 1.9 million TPC-C NewOrder transactions and 24 TPC-H-equivalent queries per second simultaneously, which retain the excellent performance of specialized OLTP and OLAP counterparts (e.g., DrTM+H and MonetDB). If your accepted paper should not be published prior to the event, please notify production@usenix.org. For example, talks may be shorter than in prior years, or some parts of the conference may be multi-tracked. 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. We compare Marius against two state-of-the-art industrial systems on a diverse array of benchmarks. 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. 2019 - Present. They collectively make the backup fresh, columnar, and fault-tolerant, even facing millions of concurrent transactions per second. Academic and industrial participants present research and experience papers that cover the full range of theory . She is the author of the textbook Interconnections (about network layers 2 and 3) and coauthor of Network Security. 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. 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. The experimental results show that Penglai can support 1,000s enclave instances running concurrently and scale up to 512GB secure memory with both encryption and integrity protection. 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. Despite having the same end goals as traditional ML, FL executions differ significantly in scale, spanning thousands to millions of participating devices. To adapt to different workloads, prior works mix or switch between a few known algorithms using manual insights or simple heuristics. For any further information, please contact the PC chairs: pc-chairs-2022@eurosys.org. Submission of a response is optional. Metadata from voice calls, such as the knowledge of who is communicating with whom, contains rich information about peoples lives. In particular, responses must not include new experiments or data, describe additional work completed since submission, or promise additional work to follow. Questions? 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. Mothy's current research centers on Enzian, a powerful hybrid CPU/FPGA machine designed for research into systems software. sosp ACM Symposium on Operating Systems Principles. We implemented the ZNS+ SSD at an SSD emulator and a real SSD. How can we design systems that will be reliable despite misbehaving participants?
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. 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. 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. All papers will be available online to registered attendees before the conference. 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. Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. Ankit Bhardwaj and Chinmay Kulkarni, University of Utah; Reto Achermann, University of British Columbia; Irina Calciu, VMware Research; Sanidhya Kashyap, EPFL; Ryan Stutsman, University of Utah; Amy Tai and Gerd Zellweger, VMware Research. 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. To evaluate the security guarantees of Storm, we build a formally verified reference implementation using the Labeled IO (LIO) IFC framework. And yet, they continue to rely on centralized search engines and indexers to help users access the content they seek and navigate the apps. 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. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research. The device then "calibrates" its interrupts to completions of latency-sensitive requests. 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). As a member of ACCT, I have served two years on the bylaws and governance committee and two years on the finance and audit committee. The blockchain community considers this hard fork the greatest challenge since the infamous 2016 DAO hack. While verifying GoJournal, we found one serious concurrency bug, even though GoJournal has many unit tests. However, your OSDI submission must use an anonymized name for your project or system that differs from any used in such contexts. Marius is open-sourced at www.marius-project.org. 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. OSDI 2021 papers summary. Additionally, there is no assurance that data processing and handling comply with the claimed privacy policies. She also has made contributions in network security, including scalable data expiration, distributed algorithms despite malicious participants, and DDOS prevention techniques. 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. (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.
News Baris Kasikci's Home Page - Electrical Engineering and Computer 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. 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. We demonstrate the above using design, implementation and evaluation of blk-switch, a new Linux kernel storage stack architecture. Authors may upload supplementary material in files separate from their submissions. 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. 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 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. The full program will be available in May 2021. Although SSDs can be simplified under the current ZNS interface, its counterpart LFS must bear segment compaction overhead.
Han Meng - Research Assistant - Michigan State University | LinkedIn 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. We also welcome work that explores the interface to related areas such as computer architecture, networking, programming languages, analytics, and databases. Concretely, Dorylus is 1.22 faster and 4.83 cheaper than GPU servers for massive sparse graphs. This year, there were only 2 accepted papers from UK institutes.
OSDI '22 - HotCRP.com The 15th USENIX Symposium on Operating Systems Design and Implementation seeks to present innovative, exciting research in computer systems. Sam Kumar, David E. Culler, and Raluca Ada Popa, University of California, Berkeley. Fluffy found two new consensus bugs in the most popular Geth Ethereum client which were exploitable on the live Ethereum mainnet. Unfortunately, because devices lack the semantic information about which I/O requests are latency-sensitive, these heuristics can sometimes lead to disastrous results. 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.
PDF Why Has Personality Psychology Played an Outsized Role in the 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. Camera-ready submission (all accepted papers): 15 Mars 2022. Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. In this paper, we propose a software-hardware co-design to support dynamic, fine-grained, large-scale secure memory as well as fast-initialization. Last year, 70% of accepted OSDI papers participated in the . 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. 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. Welcome to the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI '22) submissions site. Submissions violating the detailed formatting and anonymization rules will not be considered for review. We observe that, due to their intended security guarantees, SC schemes are inherently oblivioustheir memory access patterns are independent of the input data.
Report - Systems Research Artifacts For more details on the submission process, and for templates to use with LaTeX, Word, etc., authors should consult the detailed submission requirements. Welcome to the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) submissions site. We implement and evaluate a suite of applications, including MICA, Raft and Set Algebra for document retrieval; and we demonstrate that the nanoPU can be used as a high performance, programmable alternative for one-sided RDMA operations. The hybrid segment recycling chooses a proper block reclaiming policy between segment compaction and threaded logging based on their costs. 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. Kyuhwa Han, Sungkyunkwan University and Samsung Electronics; Hyunho Gwak and Dongkun Shin, Sungkyunkwan University; Jooyoung Hwang, Samsung Electronics. 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. He joined Intel Research at Berkeley in April 2002 as a principal architect of PlanetLab, an open, shared platform for developing and deploying planetary-scale services. 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. Conference Dates: Apr 12, 2021 - Apr 14, 2021. Memory allocation represents significant compute cost at the warehouse scale and its optimization can yield considerable cost savings. 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. We conclude with a discussion of additional techniques for improving the allocator development process and potential optimization strategies for future memory allocators. Paper Submission Information All submissions must be received by 11:59 PM AoE (UTC-12) on the day of the corresponding deadline. A graph neural network (GNN) enables deep learning on structured graph data. 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. Graph Neural Networks (GNNs) have gained significant attention in the recent past, and become one of the fastest growing subareas in deep learning. To achieve low overhead, selective profiling gathers runtime execution information selectively and incrementally. 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. Hence, CLP enables efficient search and analytics on archived logs, something that was impossible without it. When registering your abstract, you must provide information about conflicts with PC members. 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. NrOS replicates kernel state on each NUMA node and uses operation logs to maintain strong consistency between replicas. PC members are not required to read supplementary material when reviewing the paper, so each paper should stand alone without it. 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). Proceedings Cover | Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, and Liyan Zheng, Tsinghua University; Yuanzhi Li, Carnegie Mellon University; Kaiyuan Rong and Yuanyong Chen, Tsinghua University; Zhihao Jia, Carnegie Mellon University and Facebook. We present TEMERAIRE, a hugepage-aware enhancement of TCMALLOC to reduce CPU overheads in the applications code. GoJournals goal is to bring the advantages of journaling for code to specs and proofs. Professor Veloso has been recognized with a multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. DMon speeds up PostgreSQL, one of the most popular database systems, by 6.64% on average (up to 17.48%). The co-chairs may then share that paper with the workshops organizers and discuss it with them.
HotNets 2021: Call for Papers - sigcomm 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. Concurrency control algorithms are key determinants of the performance of in-memory databases.
OSDI 2021 papers summary | hacklog We build Polyjuice based on our learning framework and evaluate it against several existing algorithms.
Precision Conservation: Linking Set-aside and Working Lands Policy The chairs will review paper conflicts to ensure the integrity of the reviewing process, adding or removing conflicts if necessary. The chairs may reject abstracts or papers on the basis of egregious missing or extraneous conflicts. This paper presents Dorylus: a distributed system for training GNNs. In this paper, we present P3, a system that focuses on scaling GNN model training to large real-world graphs in a distributed setting. 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. 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. Devices employ adaptive interrupt coalescing heuristics that try to balance between these opposing goals. Proceedings Front Matter Paper abstracts and proceedings front matter are available to everyone now. 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.
OSDI '22 Technical Sessions | USENIX Web pages today commonly include large amounts of JavaScript code in order to offer users a dynamic experience. 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. Compared to existing baselines, DPF allows training more models under the same global privacy guarantee. Federated Learning (FL) is an emerging direction in distributed machine learning (ML) that enables in-situ model training and testing on edge data. This budget is a scarce resource that must be carefully managed to maximize the number of successfully trained models. Moreover, to handle dynamic workloads, Nap adopts a fast NAL switch mechanism. DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh . Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, and Roxana Geambasu, Columbia University; Mathias Lcuyer, Microsoft Research. Pages should be numbered, and figures and tables should be legible in black and white, without requiring magnification.
SOSP 2021 - Symposium on Operating Systems Principles 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 . 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. Manuela will present examples and discuss the scope of AI in her research in the finance domain. 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. 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. 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). In this paper, we propose Oort to improve the performance of federated training and testing with guided participant selection. Writing a correct operating system kernel is notoriously hard. The key insight guiding our design is computation separation. This paper presents Zeph, a system that enables users to set privacy preferences on how their data can be shared and processed. 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. 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. As a result, data characteristics and device capabilities vary widely across clients. The overhead of GPT is 5% for memory-intensive workloads (e.g., Redis) and negligible for CPU-intensive workloads (e.g., RV8 and Coremarks). 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. We will look at various problems and approaches, and for each, see if blockchain would help. For conference information, see: .
Petuum Awarded OSDI 2021 Best Paper for Goodput-Optimized Deep Learning 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. A scientific paper consists of a constellation of artifacts that extend beyond the document itself: software, hardware, evaluation data and documentation, raw survey results, mechanized proofs, models, test suites, benchmarks, and so on. Poor data locality hurts an application's performance. Therefore, developers typically find data locality issues via dynamic profiling and repair them manually. 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. 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. All deadline times are 23:59 hrs UTC. 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. Using this property, MAGE calculates the memory access pattern ahead of time and uses it to produce a memory management plan. OSDI will provide an opportunity for authors to respond to reviews prior to final consideration of the papers at the program committee meeting. The conference papers and full proceedings are available to registered attendees now and will be available to everyone beginning Wednesday, July 14, 2021. She developed the technology for making network routing self-stabilizing, largely self-managing, and scalable.