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Leadership Performance with 2nd-Generation Intel Xeon Scalable Processors

According to Intel, its new 2nd generation Intel Xeon Scalable Processor family includes Intel Deep Learning Boost for AI deep learning inference acceleration, fresh features and support for Intel Octane DC (data center) persistent memory, and more. Learn more about the offerings in a new issue of Parallel Universe Magazine.

Parallelism in Python: Directing Vectorization with NumExpr

According to a new edition of Parallel Universe Magazine, from Intel, Python has several pathways to vectorization. These range from just-intime (JIT) compilation with Numba 1 to C-like code with Cython. A chapter from a recent edition of Parallel Universe Magazine, explores parallelism in Python.

Thermoplastic Connectors Grow in Popularity Along with Liquid Cooling

As liquid cooling becomes more and more prevalent, new technology and types of connectors are becoming water cooler topics for those in the data and computing industries. According to a new report from CPC, long-term, leak-free performance in fluid management systems requires robust connectors. And advanced materials are growing the range of available QD options.

7 Ways HPC Software Developers Can Benefit from Intel Software Investments

Intel has long focused on supporting HPC software. But, as the years have gone by, much has changed — and the company’s offerings have grown and evolved. A chapter from a recent edition of Parallel Universe Magazine, from this past July outlines this evolution and offers seven ways HPC software developers can benefit from Intel software investments. 

Running AI and HPC Workloads Together on Existing Infrastructure Enhances Return on System Investments

Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. This sponsored post from Intel explores the ins and outs of running AI and HPC workloads together on existing infrastructure, and how organizations can gain rapid insights, and experience faster time-to-market with advanced architecture technologies. 

High Speed Data Capture for AI on the Fly Edge Applications

In many AI applications, transporting large amounts of data back to a remote datacenter is impractical and undesirable. With AI on the Fly, the entire AI workflow resides at the edge at the data source. One Stop Systems’s Tim Miller explores how high performance scalable data acquisition is a fundamental and enabling component of this emerging new paradigm. 

Multiple Endpoints in the Latest Intel MPI Library Boosts Hybrid Performance

The performance of distributed memory MPI applications on the latest highly parallel multi-core processors often turns out to be lower than expected. Which is why hybrid applications using OpenMP multithreading on each node and MPI across nodes in a cluster are becoming more common. This sponsored post from Intel, written by Richard Friedman, depicts how to boost performance for hybrid applications with multiple endpoints in the Intel MPI Library. 

Faster Path to HPC Enabled with Intel Select Solutions for Simulation & Modeling

HPC clusters used for simulation and modeling today in government, academic, and corporate institutions drive scientific discovery and engineering innovation. This sponsored post from Bill Magro, chief technologist for HPC, and HPC solutions lead at Intel Corp., explores how Intel, OEMs, systems integrators, and ISVs partner to reduce deployment barriers through pre-configured and validated HPC systems. 

Achieving Parallelism in Intel Distribution for Python with Numba

The rapid growth in popularity of Python as a programming language for mathematics, science, and engineering applications has been amazing. Not only is it easy to learn, but there is a vast treasure of packaged open source libraries out there targeted at just about every computational domain imaginable. This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. 

3 Ways to Unlock the Power of HPC and AI

A growing number of commercial businesses are implementing HPC solutions to derive actionable business insights, to run higher performance applications and to gain a competitive advantage. Complexities abound as HPC becomes more pervasive across industries and markets, especially as companies adopt, scale, and optimize both HPC and Artificial Intelligence (AI) workloads. Bill Mannel, VP & GM HPC & AI Solutions Segment at Hewlett Packard Enterprise, walks readers through three strategies to ensure HPC and AI success.