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Video: Hewlett Packard Labs teams with Mentor for LightSuite Photonic Compiler

“Mentor’s LightSuite Photonic Compiler represents a quantum leap in automating what has up to now been a highly manual, full-custom process that required deep knowledge of photonics as well as electronics,” said Joe Sawicki, vice president and general manager of the Design-to-Silicon Division at Mentor, a Siemens business. “With the new LightSuite Photonic Compiler, Mentor is enabling more companies to push the envelope in creating integrated photonic designs.”

Job of the Week: HPC Systems Engineer at R-Systems

R-Systems is seeking an HPC Systems Engineer in our Job of the Week. “R Systems is a service provider of high performance computing resources. The company empowers research by providing leading edge technology with an accessible and knowledgeable tech team, delivering the best performing result in a user friendly environment. Offerings include lease-time for bursting as well as for short-term and long-term projects, available at industry-leading prices.”

Expressing Parallelism in C++ with Threading Building Blocks

Parallelism helps applications make the best use of processors on single or multiple devices. However, parallelism implementation itself can prove a challenging task. In this video, Mike Voss, principal engineer with the Core and Visual Computing Group at Intel discusses the benefits of Intel® Threading Building Blocks (Intel® TBB), a C++ library, and how it can simplify the work of adding parallelism without the need to probe into threading details.

Video: NVIDIA Rolls out TensorRT Hyperscale Platform and New T4 GPU for Ai Datacenters

This morning at GTC Japan, NVIDIA CEO Jensen Huang announced a set new products centered around Ai and accelerated computing. Targeting Hyperscale datacenters looking to run Ai workloads, NVIDIA continues to innovate Machine Learning technologies at an unprecedented pace. “There is no question that deep learning-powered AI is being deployed around the world, and we’re seeing incredible growth here,” Huang told an audience of more than 4,000 press, partners, academics and technologists gathered on the latest stop in a GTC world tour.

Architectural Considerations for AI Workloads in Technical Computing

New workloads in machine learning and analytics have placed significant burdens on traditional HPC systems. This guest post explores how HPE, Intel and WekaIO are working together to solve potential I/O bottlenecks in machine learning and AI workloads. 

Revolutionizing the Media and Entertainment Industry through Artificial Intelligence

From the creative process behind the scenes, to content delivery and audience engagement, artificial intelligence is having a profound effect on the media and entertainment industry. Download the new insideHPC guide, brought to you by Dell EMC and Nvidia, to learn more about how AI is revolutionizing this sector.

Interview: Brent Gorda on his New Role as Head of ARM HPC

Former Whamcloud CEO Brent Gorda has a new role as Senior Director for the HPC business at Arm. We caught up with Brent to learn more about the company’s plans to grow their business in the Datacenter, HPC space, and on to Exascale. “Arm partners ship over 20 billion cores a year(!) and our company is well-known for being the core IP in many designs at the edge. The trend toward the datacenter with Arm is clear, it’s an opportunity for the HPC market to take advantage of the considerable boost in performance via SVE and the Arm roadmap.”

A Guide to High Performance Computing in the AWS Cloud

A new ebook from Intel and AWS explores how AWS cloud can mitigate some of today’s top HPC challenges and enable engineers and researchers to innovate without constraints. “Most HPC processing is still conducted using on-premises systems. But for those companies unwilling to invest in new hardware to handle peak demands, moving HPC workloads to the cloud may be the answer.”

Video: Computer Vision for Autonomous Vehicles

Xiaoming Liu from Michigan State University gave this talk at the HPC User Forum in Detroit. “At Michigan State University, researchers are involved in the work that will someday make self-driving vehicles not just a reality, but commonplace. Working as part of a project known as CANVAS – Connected and Autonomous Networked Vehicles for Active Safety – the scientists are focusing much of their energy on key areas, including recognition and tracking objects such as pedestrians or other vehicles; fusion of data captured by radars and cameras; localization, mapping and advanced artificial intelligence algorithms that allow an autonomous vehicle to maneuver in its environment; and computer software to control the vehicle.”

Scale Your HPC Environment for AI Workloads

In this guest post, Intel Data Center Group’s Trish Damkroger covers how to scale your HPC environment for AI workloads. “Intel’s HPC interoperable framework assists developers with tools to modernize applications for advanced workloads and support for development languages like Python, C++, and Fortran.”