Deep Dive
Let's take a deeper look at some key technologies. Each article provides the important background you need (and links) to explore further.
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- Written by Douglas Eadline
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Explore time-series database processing
Analyzing time-series data for the financial markets is one case where speed matters. A faster answer means beating your competition to the market. For those who use kdb+/q, you understand this need and how choosing the right tool can make a huge difference in the speed at which queries get answered. As you may have assumed, there has always been an active community of kdb+ users, but until now there has never been a place to call your own.
That situation has changed thanks to kxcommunity.com. The new Kx Community site has been made available by Kx Systems, Inc. to assist and support kdb+ users. If you land on the main page, you are just a click away from current blogs, kdb+ events, job listings, local MeetUps, a monthly update signup, free code, and a real time twitter feed with kdb+ conversations. There is plenty more and the site has loads to offer for both new and experienced kdb+ users.
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- Written by Douglas Eadline
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A Deep Dive Exploring The Portland Group's PGI Accelerator Model
The remarkable computation power of General Purpose Graphical Processing Units (GP-GPUs) has led them to steadily gain traction in High Performance Computing (HPC). But creating GP-GPU programs can require new programming methods that often introduce additional work and code revisions, or even re-writes, and frequently become an obstacle to the adoption of GP-GPU technology.
To help solve this problem The Portland Group (PGI) has introduced an elegant way to augment existing HPC applications, allowing them to run efficiently on GP-GPUs while still maintaining their original code structure using standard Fortran or C. This approach provides a rapid and low-investment method for programmers to investigate GP-GPU computing. Recently, The Portland Group announced improved versions of their compiler and development tools that further enhance the PGI Accelerator Model for GP-GPUs.
HPCWire
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Keshav Pingali Receives Ken Kennedy Award for High Performance and Parallel Computing
Keshav Pingali Receives Ken Kennedy Award for High Performance and Parallel Computing
Oct. 4, 2023 — It’s 4 a.m. in Italy. Jet lagged before a conference, Keshav Pingali, professor of Computer Science and core faculty member at the Oden Institute for Computational Engineering and Sciences, found […] The post Keshav Pingali Receives Ken Kennedy Award for[…]
Source: HPCwire
Created on: Oct 4, 2023 | 21:17 pm
HPCwire | Oct 4, 2023 | 21:17 pm -
OpenTopography Recognized for Excellence in Advancing Open Earth and Space Science
OpenTopography Recognized for Excellence in Advancing Open Earth and Space Science
Oct. 4, 2023 — OpenTopography, a National Science Foundation (NSF)-funded data facility operated collaboratively between the San Diego Supercomputer Center (SDSC) at University of California San Diego, EarthScope Consortium and […] The post OpenTopography Recognized for Excellence in Advancing Open[…]
Source: HPCwire
Created on: Oct 4, 2023 | 21:00 pm
HPCwire | Oct 4, 2023 | 21:00 pm -
EU Grabs ARM for First ExaFLOP Supercomputer, x86 Misses Out
EU Grabs ARM for First ExaFLOP Supercomputer, x86 Misses Out
The configuration of Europe’s first exascale supercomputer, Jupiter, has been finalized, and it is a win for Nvidia and a disappointment for x86 chip vendors Intel and AMD. The Jupiter […] The post EU Grabs ARM for First ExaFLOP Supercomputer,[…]
Source: HPCwire
Created on: Oct 4, 2023 | 20:47 pm
HPCwire | Oct 4, 2023 | 20:47 pm
