Tags: high performance

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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IBM Adds TensorFlow Support for PowerAI Deep Learning

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was originally created by Google. TensorFlow support through IBM PowerAI provides enterprises with...
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Apache Eagle Keeps an Eye on Big Data Usage

Apache Eagle, originally developed at eBay, then donated to the Apache Software Foundation, fills a big data security niche that remains thinly populated, if not bare: It sniffs out possible security and performance issues with big data frameworks. To do so, Eagle uses other Apache open source...
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An Even Easier Introduction to CUDA

This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA. I wrote a previous “Easy Introduction” to CUDA in 2013 that has been very popular over the years. But CUDA programming has gotten easier, and GPUs have gotten much faster, so...
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