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Podcast: Accelerating AI Inference with Intel Deep Learning Boost

In this Chip Chat podcast, Jason Kennedy from Intel describes how Intel Deep Learning Boost works as an embedded AI accelerator in the CPU designed to speed deep learning inference workloads. “The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel Advanced Vector Extensions 512 (Intel AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.”

IBM Research Applies Deep Learning for Detecting Glaucoma

Over at the IBM Blog, Rahil Garnavi writes that IBM researchers have developed new techniques in deep learning that could help unlock earlier glaucoma detection. “Earlier detection of glaucoma is critical to slowing its progression in individuals and its rise across our global population. Using deep learning to uncover valuable information in non-invasive, standard retina imaging could lay the groundwork for new and much more rapid glaucoma testing.”

E4 teams with bluechip Computer AG in Germany for HPC

Today Italian HPC and AI specialist E4 Computer Engineering announced a strategic partnership with bluechip Computer AG, a leading German manufacturer of server, storage, workstation and client systems. Under the agreement, the two companies will co-market bluechip servers and storage along with consulting, installation, and support services for HPC and AI applications. “Thanks to the strategic partnership with E4 Computer Engineering, we will be able to implement HPC solutions in a much more efficient way in the DACH region. Both companies will benefit from their specialized knowledge, which complements each other and will enable bluechip to deliver an excellent German-language support to its customers in this area.“, said Bogdan Kruszewski, Head of product marketing at bluechip Computer AG. 

Virginia Tech Team Using AI for Supercomputer Load Balancing

A team of researchers from Virginia Tech is helping supercomputers to work more efficiently in a novel way, using machine learning to properly distribute, or load balance, data processing tasks across the thousands of servers that comprise a supercomputer. By incorporating machine learning to predict not only tasks but types of tasks, researchers found that load on various servers can be kept balanced throughout the entire system.

Sandia Powers Breakthroughs in Neuromorphic Computing

Researchers at Sandia National Laboratories have collaborated with Stanford University and University of Massachusetts, Amherst to address the challenges of neuromorphic computing, which mimics the way the human brain carries out data-centric tasks. The work has lead to recent breakthroughs in neuromorphic computing and the broader fields of organic electronics and solid-state electrochemistry.

NASA to Launch University of Pittsburgh Supercomputer into Space

A novel supercomputer developed by a University of Pittsburgh team is set to journey to the International Space Station on May 1. The supercomputer will serve as a research “sandbox” for space-based experiments on computing, sensing, image processing and machine learning. “It will be “one of the most powerful space-qualified computers ever made and flown,” said Alan George, department chair of the Swanson School of Engineering’s Department of Electrical and Computer Engineering, who led Pitt researchers and graduate students on the project.”

Bill Dally from NVIDIA presents: Accelerating AI

Bill Dally from NVIDIA gave this talk at the Matroid Scaled Machine Learning Conference. “The world of computing is experiencing an incredible change with the introduction of deep learning and AI. Deep learning relies on GPU acceleration, both for training and inference, and NVIDIA delivers it everywhere you need it—to data centers, desktops, laptops, the cloud, and the world’s fastest supercomputers.”

Call for Presentations: MVAPICH User Group in August

The 7th annual MVAPICH User Group (MUG) meeting has issued its Call for Presentations. MUG will take place from August 19-21, 2019 in Columbus, Ohio. “MUG aims to bring together MVAPICH2 users, researchers, developers, and system administrators to share their experience and knowledge and learn from each other. The event includes keynote talks, invited tutorials, invited talks, contributed presentations, open MIC session, hands-on sessions with MVAPICH developers, etc.”

GPU Technology Conference Returns to DC in November

NVIDIA’s GPU Technology Conference will returns to Washington, D.C. Nov 5-6, 2019. “GTC is the premier AI and deep learning conference series, providing you with training, insights, and direct access to experts from NVIDIA and other leading organizations. Join NVIDIA for the latest breakthroughs in self-driving cars, accelerated data science, healthcare, big data, high-performance computing, virtual reality, and more.”

Micron steps up with NVMe SSDs

Micron recently unveiled its new series of flagship solid-state drives (SSDs) featuring the NVMe protocol, bringing industry-leading storage performance at higher capacities to cloud and enterprise computing markets. The Micron 9300 series of NVMe SSDs enables companies with data-intensive applications to access and process data faster, helping reduce response time.