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The last decade of database research and its blindingly bright future. or Database Research: A love song. by Michael Cafarella and Chris Ré 11 Apr 2018 To go by Twitter and many hallway conversations, the database research community has been unsettled lately in a way that we have never seen before. Many people are unhappy with the review process, many types of useful work seem to be more difficult
DAWNBench is a benchmark suite for end-to-end deep learning training and inference. Computation time and cost are critical resources in building deep models, yet many existing benchmarks focus solely on model accuracy. DAWNBench provides a reference set of common deep learning workloads for quantifying training time, training cost, inference latency, and inference cost across different optimizatio
by Shoumik Palkar, Deepak Narayanan, James Thomas, and Matei Zaharia 25 Apr 2017 Weld is a runtime and language for high performance data analytics, developed in the Stanford Infolab. It is implemented in Rust , a modern take on a fast systems programming language. In this blog post we provide our experiences implementing a low-level systems research project in Rust (with no prior experience with
A Five-Year Research Project to Democratize AI Stanford DAWN (Data Analytics for What’s Next) · 2018–2022 Making a machine learning system is a complicated process — but with better tools, we believe any organization could do it. Data is a barrier to MLMaking a machine learning system involves collecting, processing, distributing, and monitoring huge amounts of data. It takes work to build infra
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