Tags: high performance

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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Future Technologies on the Rise for HPC

While the future of HPC will involve myriad different technologies, one thing is clear – the future of HPC involves a considerably greater degree of parallelism than we are seeing today. A large driver for this increased parallelism is the use of increasingly parallel processors and accelerator...
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Singularity – Containers for Science, Reproducibility, and HPC

In this video from the 2017 HPC Advisory Council Stanford Conference, Greg Kurtzer from LBNL presents: Singularity: Containers for Science, reproducibility, and HPC. “Explore how Singularity liberates non-privileged users and host resources (such as interconnects, resource managers, file systems,...
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Beyond Exascale: Emerging Devices and Architectures for Computing

n this video from SC16, Thomas Theis from the Fu Foundation School of Engineering, Arts and Sciences presents: Beyond Exascale: Emerging Devices and Architectures for Computing. Research on new and emerging devices, circuits and architectures for computing, such as that pursued under the...
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