Recent publications
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SIGMOD/PODS 20232023Serverless cloud-based warehousing systems enable users to create materialized views in order to speed up predictable and repeated query workloads. Incremental view maintenance (IVM) minimizes the time needed to bring a materialized view up-to-date. It allows the refresh of a materialized view solely based on the base table changes since the last refresh. In serverless cloud-based warehouses, IVM uses computations
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PPoPP 20232023Jointly utilizing multiple GPUs to train graph neural networks (GNNs) is crucial for handling large graphs and achieving high efficiency. However, we find that existing systems suffer from high communication costs and low GPU utilization due to improper data layout and training procedures. Thus, we propose a system dubbed Distributed Sampling and Pipelining (DSP) for multi-GPU GNN training. DSP adopts a
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ICSE 20232023Static analysis tools detect a wide range of code defects, including code quality issues, security vulnerabilities, operational risks, and best-practice violations. Creating and maintaining a set of high-quality static analysis rules that detect misuses of popular libraries and SDKs across multiple languages is challenging. One of the mechanisms for inferring static analysis rules is by leveraging frequently
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ICSE 20232023Static application security testing (SAST) tools have found broad adoption in modern software development workflows. These tools employ a variety of static analysis rules to generate recommendations on how to improve the code of an application. Every recommendation consumes the time of the engineer that is investigating it, so it is important to measure how useful these rules are in the long term. But what
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ASPLOS 20232023As deep learning models nowadays are widely adopted by both cloud services and edge devices, reducing the latency of deep learning model inferences becomes crucial to provide efficient model serving. However, it is challenging to develop efficient tensor programs for deep learning operators due to the high complexity of modern accelerators (e.g., NVIDIA GPUs and Google TPUs) and the rapidly growing number
Related content
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February 12, 2021Zhang and co-authors are honored for paper that focused on improving the network scalability of cloud data centers through an optimized traffic-aware algorithm for placing virtual machines on host machines. -
Credit: Gregory Trott/APFebruary 05, 2021In its collaboration with the NFL, AWS contributes cloud computing technology, machine learning services, business intelligence services — and, sometimes, the expertise of its scientists.
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January 14, 2021AWS vice president of machine learning delivers first-ever ML keynote at ninth annual conference.
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December 09, 2020Taha Kass-Hout says the service’s secret sauce is its ability to create a comprehensive data set within a secure data lake that can be organized by different attributes, and then queried and analyzed with advanced analytics and machine learning.
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December 09, 2020How SageMaker’s data-parallel and model-parallel engines make training neural networks easier, faster, and cheaper.
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Credit: serguntDecember 09, 2020For the first time, the largest genomic sequencing repository in the Americas will be natively accessible on AWS through the Open Data Sponsorship Program.
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Credit: GitHubDecember 08, 2020University of Minnesota professor and Amazon Scholar, together with coauthor, receives recognition for paper that proposes novel approach to algorithm that generates high-quality recommendations for e-commerce products at high speeds.
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October 27, 2020Rungta had a promising career with NASA, but decided the stars aligned for her at Amazon.
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September 17, 2020Amazon researchers describe new method for distributing database tables across servers.
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Credit: kgtohAugust 11, 2020Traffic Jam leverages machine learning technologies from Amazon Web Services to find patterns in ads posted by sexual traffickers on the internet every day.
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August 06, 2020Tools include optimizations for multicore, multiple-GPU, and distributed-training settings.
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July 02, 2020Seeger and three coauthors are honored for paper that forged durable links between previously separate domains.
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Hendra Su/Getty Images/iStockphotoJune 24, 2020Amazon scientists are on the cutting edge of using math-based logic to provide better network security, access management, and greater reliability.
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June 24, 2020System enables efficient updating and parallelization and stable scaling.
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May 31, 2020AWS services used to process massive amounts of data needed to develop the sophisticated, open-source artificial language model.
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May 27, 2020ICSE paper presents techniques piloted by Amazon Web Services’ Automated Reasoning team.
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ArtistGNDphotography/Getty ImagesMay 23, 2020AWS’s Cord-19 Search website allows researchers to easily query tens of thousands of scientific and medical papers on the deadly virus.
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May 14, 2020Watch the recording of Marc Brooker's presentation on Firecracker, an open source virtualization platform.
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Credit: Stacy ReillyMay 07, 2020Dive into Deep Learning combines detailed instruction and math with hands-on examples and code.
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May 04, 2020Award-winning scientist joined Amazon team in Tübingen earlier this year.
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April 21, 2020Bezos’s Shareholder Letter has become a must read, along the lines of Warren Buffet’s letter to Berkshire Hathaway shareholders, or the Bill & Melinda Gates Annual Letter.
