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NIPS2017èªã¿ä¼šã§ã®ç™ºè¡¨è³‡æ–™ã§ã™ã€‚DL at Supercomputer Scale Workshop ã‚’é¡Œæã«ã€2017 å¹´ã®åˆ†æ•£æ·±å±¤å¦ç¿’ã®é€²å±•ã«ã¤ã„ã¦ã¾ã¨ã‚ã¾ã—ãŸã€‚ NIPS2017èªã¿ä¼š@PFN - connpass https://connpass.com/event/76552/
What We Talk About When We Talk About Distributed Systems
What We Talk About When We Talk About Distributed Systems For quite some time now I’ve been trying to learn about distributed systems, and it’s appropriate to say that once you start digging, there seems to be no end to it, the rabbit hole goes on and on. The literature in distributed systems is quite extensive, with lots of papers coming from different universities, plus quite a few books to choo
Modern Distributed Messaging and RPC
This document provides an overview of lightweight messaging and remote procedure call (RPC) systems in distributed systems. It discusses messaging systems, typical peer-to-peer and broker-based messaging topologies, characteristics and features of messaging systems, main classes of messaging systems including enterprise service buses (ESBs), JMS implementations, AMQP implementations, and lightweig
MapR M7: Providing an enterprise quality Apache HBase API
MapR M7: Providing an enterprise quality Apache HBase APIAI-enhanced description The document provides an overview of MapR M7, an integrated system for structured and unstructured data. M7 combines aspects of LSM trees and B-trees to provide faster reads and writes compared to Apache HBase. It achieves instant recovery from failures through its use of micro write-ahead logs and parallel region rec
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Scalability, Availability & Stability Patterns
Scalability, Availability & Stability PatternsAI-enhanced description This document provides an overview of patterns for scalability, availability, and stability in distributed systems. It discusses general recommendations like immutability and referential transparency. It covers scalability trade-offs around performance vs scalability, latency vs throughput, and availability vs consistency. It th
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Google: Achieving Rapid Response Times in Large Online Services
Achieving Rapid Response Times in Large Online Services Jeffrey Dean Abstract Today�s large-scale web services provide rapid responses to interactive requests by applying large amounts of computational resources to massive datasets. They typically operate in warehouse-sized datacenters and run on clusters of machines that are shared across many kinds of interactive and batch jobs. As these syste
Distributed Programming and Data Consistency w/ Notes
This document discusses distributed programming and data consistency. It defines consistency as how systems and observers perceive the state of a system over time. Consistency has a time aspect, where expected and unexpected sequences of states can occur. Distributed systems like caching introduce inconsistencies when data is replicated across servers. The CAP theorem states that a distributed sys
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2017 Jim Gray Award Talk: Coordination Avoidance in Distributed Databases
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Tall-and-skinny QR factorizations in MapReduce architectures
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