InfoQ Homepage Algorithms Content on InfoQ
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Architecture & Algorithms Powering Search @ZocDoc
Brian D'Alessandro and Pedro Rubio talk about the patient friendly search system they have built at Zocdoc using various products from the AWS stack and custom Machine Learning pipelines.
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Load Balancing is Impossible
Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.
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Algorithms for Animation
Courtney Hemphill walks through the basic principles of animation design and the simple formulas that can be used to create robust animations.
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Unorthodox Paths to High Performance
Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.
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Distributed Consensus: Making the Impossible Possible
Heidi Howard explores how to construct resilient distributed systems on top of unreliable components. Howard discusses which algorithms are best suited to different situations.
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Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-World Use
Alexander Lavin introduces the Numenta Anomaly Benchmark (NAB), a framework for evaluating anomaly detection algorithms on streaming data.
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The Quest for Low-latency with Concurrent Java
Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.
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The Raft Consensus Algorithm
Diego Ongaro introduces Raft, a consensus algorithm for managing a replicated log by separating the key elements of consensus and reducing the number of states that must be considered.
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It Probably Works
Tyler McMullen discusses how probabilistic algorithms actually work in practice and how to know they'll be safe and reliable in critical production systems.
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Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain
Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering
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Cybertron: Pushing the Limit on I/O Reduction in Data-Parallel Programs
The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.
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ASPIRE:Exploiting Asynchronous Parallelism in Iterative Algorithms using a Relaxed Consistency-based DSM
The authors present a relaxed memory consistency model and consistency protocol that tolerate communication latency and minimize the use of stale values, outperforming other models.
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