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- UC San Diego To Build Cyberinfrastructure for NASA ResearchThe San Diego Supercomputer Center (SDSC) and UC San Diego’s Scripps Institution of Oceanography have been awarded a NASA grant to...
- Old Supercomputers Never Die, They Just Get RepurposedInstead of retiring its five-year-old Gordon supercomputer, the San Diego Supercomputer Center (SDSC) has struck a deal with a New York-based...
- Intel Fuels Wave Of Training To Stave Off Data Scientist ShortageFocus on AI, Machine Learning application development yields base for next generation of data scientists The shortage of data scientists that...
- New Intel Hybrid Cloud Datacenter Security Aims at “Shadow IT” UsersThe increasing complexity of datacenter infrastructures and the challenge of protecting them is shifting InfoSec professionals away from best-of-breed tools in...
- Supercomputing Expected To Help Increase Life Expectancy By A DecadeSupercomputers will give rise to advances in personalized medicine, which will improve healthcare and potentially increase people’s life expectancy by five...
- Supercomputer Models Speed New Materials DiscoveryMachine Learning helps confirm properties of new “nanomaterials” 10x+ faster Researchers using supercomputers are taking advantage of machine-learning algorithms to accurately...
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BigDL: Optimized Deep Learning on Apache Spark
Making Deep Learning More Accessible with an Open Source, Distributed Deep Learning Framework Artificial intelligence (AI) plays a central role in today’s smart and connected world―and is continuously driving the need for scalable, distributed big data analytics with deep learning capabilities. There is also an increasing demand to conduct deep …
HPC with R: The Basics
Some say R is not fit for high-performance computing (HPC). Others say, “No … wait … you’re actually serious? R in HPC?” However, the world is changing. Data analytics is the new hip, cool thing. And whether you see tangible benefits in data science, or just dollar signs, the fact …
What’s New in Intel Python Update 2?
The 2nd update to Intel Python (1.2) came out in February 2017. As well as updates to many packages there are 17 new Python packages included. These have been selected by Intel and where possible optimized to work with the Intel Math Kernel Library (Intel MKL), Intel Thread Building Blocks …
Creating Games with Intel Tools Part 4: Wrapping It Up
Scoring and enemy movement wrap up Rick’s game, which takes advantage of parallel processing Over the past month, Contributing Editor Rick Leinecker has demonstrated how to create a simple game that takes advantage of multiple CPU cores. Now, in the final instalment, Rick wraps it all up in a functioning game. …
Making The Most Of Heterogeneous Cores With Intel TBB
Computing platforms are becoming increasingly heterogeneous with the combination of CPUs, GPUs, FPGAs, co-processors, and domain-specific compute engines. But programming to take advantage of these heterogeneous environments in a single application remains a challenge. This video provides a brief overview of the heterogeneous capability of Intel® Threading Building Blocks (Intel® …
Parallel Programming At Your Fingertips with Intel TBB – part 1
In this video you will get an overview about Intel® Threading Building Blocks also known as Intel® TBB. Intel® Threading Building Blocks (Intel® TBB) is a widely used C++ library for shared-memory parallel programming and heterogeneous computing (intra-node distributed memory programming). The library provides a wide range of features for …
Creating Games with Intel Tools Part 3: Chasing the Player
How easy is it to develop a game with Intel tools? In the third installment of this four-part series, Slashdot Media Contributing Editor Rick Leinecker fine-tunes the A* paths, and demonstrates double buffering. Want to try it yourself? Rick’s project code can be downloaded from Sourceforge at this link.
Game Design with Intel Tools Part 2: Parallelizing A* Algorithm
This blog is the second in a four-part series in which the Intel software development tools are used to develop a game. The first blog in the series uses Intel Performance Primitives (IPP) to perform image processing for the game’s splash screen. The first article can be found here. The …
Models, Frameworks Accelerate Deep Learning for Enterprise Big Data
Deep Learning is the cutting edge of AI, but proven data and deployment models and available frameworks make it a solid practical choice for advanced analytics Deep learning techniques are advancing artificial-intelligence based analytics far enough that a team of researchers at MIT has succeeded in getting a computer to …
Creating Games Using Intel Tools, Part 1: Starting With Splash Screens
New visualization tools and libraries can simplify the creation of games, and support the gamification of IT. In this four-blog you’ll see how a game is creates from start to finish Intel has tools that can help create sizzling games. This blog is the first in a series of …