Although the performance and efficiency gain of using accelerators, including GPUs, can be quite staggering, programming for boosted systems still presents some challenges, despite the large amount of work over the years to streamline the process. …
Each year, Intel bundles core software developments into its Parallel Studio Suite and releases an updated version, which includes extensions to its suite of libraries, compilers, and analytical tools. …
Docker is the new kid on the virtualization and containerization block. …
Not all upstarts are founded in the tech industry, and not all of them within the last decade, either. …
As the needs for ever faster analytics on growing datasets continue to mount, the overwhelming number of projects, startups, and pushes from established companies to find new ways to process and manage data climb as well. …
Having made its fortunes virtualizing the X86 servers at some 500,000 customers worldwide, there is no bigger threat to the continued financial success of server virtualization and cloud player VMware than the wild enthusiasm that software development teams have for Docker containers. …
There is a clever combination of language and platform development rolling out of Facebook engineering in the form of HHVM and the Hack programming language—and what is working for production users of this code base inside Facebook, is also powering production jobs at Baidu, Box, and Wikipedia. …
Although Spark has garnered a reputation as being a real-time analytics engine that is married to Hadoop, its life before being glued to that framework offers a different story. …
The name might be short for Not Only SQL, but to be a proper database that can be used by normal enterprises and not just by hyperscalers with their fleets of PhDs, any database, whether it is a relational or NoSQL, has to be able to support the Structured Query Language that has been associated with relational databases from day one. …
For some users in high performance computing and a growing range of deep learning and data-intensive application segments, the shift toward mixed (heterogeneous) architectures is becoming more common. …
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