Tags: high performance

The Future of Big Data: Distilling Less Knowledge Per Bit

Until recently, the word data didn’t require a modifier. But we passed a watershed moment when we started referring to big data. Apparently, that wasn’t a sufficient description for some chunks of data, because people grasped for bolder terms, such as humongous data. Sadly, now, it appears that we...
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OpenStack for Research Computing

In this video from Switzerland HPC Conference, Stig Telfer from StackHPC presents: OpenStack for Research Computing. OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives...
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Google’s New Chip Is a Stepping Stone to Quantum Computing Supremacy

John Martinis has given himself just a few months to reach a milestone in the history of computing. He’s leader of the Google research group working on building astonishingly powerful computer chips that manipulate data using the quirks of quantum physics. By the end of this year, Martinis says,...
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Hadoop: The Rise of the Modern Data Lake Platform

Hadoop, while it may be synonymous with big data, and while it may be free to access and work with, engineering teams globally will admit that behind every Hadoop undertaking is a major technical delivery project. Failures are so commonplace that even the experts don’t have great expectations of...
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Apache BookKeeper
Apache BookKeeper is a high-performance and low-latency cloud storage service, originally designed for write ahead logging. Learn more.

High Performance Logging with Apache BookKeeper

Apache BookKeeper is a high-performance and low-latency cloud storage service, originally designed for write ahead logging. Since its original development, BookKeeper has been expanded and is now used by companies including Twitter, Yahoo, Salesforce, Huawei, and EMC. In their presentation at the...
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Attack of the Killer Microseconds

The computer systems we use today make it easy for programmers to mitigate event latencies in the nanosecond and millisecond time scales (such as DRAM accesses at tens or hundreds of nanoseconds and disk I/Os at a few milliseconds) but significantly lack support for microsecond (μs)-scale events....
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IEEE Looks Beyond Moore’s Law with IRDS Technology Roadmap

IEEE is taking a lead role in building a comprehensive, end-to-end view of the computing ecosystem, including devices, components, systems, architecture, and software. In May 2016, IEEE announced the formation of the IRDS under the sponsorship of IEEE RC. The historical integration of IEEE RC and...
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The Goal of HP's Radical The Machine: Reshaping Computing Around Memory

...HPE's goal with The Machine is to build a large pool of persistent memory that application processors can just access. "We want all the warm and hot data to reside in a very large in-memory domain," Wheeler said. "At the software level, we are trying to eliminate a lot of the shuffling of data...
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ARM Antes Up For An HPC Software Stack

The HPC community is trying to solve the critical compute challenges of next generation high performance computing and ARM considers itself well-positioned to act as a catalyst in this regard. Applications like machine learning and scientific computing are driving demands for orders of magnitude...
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MIT-Stanford Project Uses LLVM to Break Big Data Bottlenecks

Written in Rust, Weld can provide orders-of-magnitude speedups to Spark and TensorFlow. The more cores you can use, the better -- especially with big data. But the easier a big data framework is to work with, the harder it is for the resulting pipelines, such as TensorFlow plus Apache Spark, to run...
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