Intel® Math Kernel Library 2017 (Intel® MKL 2017) includes new GEMM kernels that are optimized for various skewed matrix sizes. The new kernels take advantage of Intel® Advanced Vector Extensions 512 (Intel® AVX-512) and achieves high GEMM performance on multicore and many-core Intel® architectures, particularly for situations arising from deep neural networks..
Deep Learning Frameworks Get a Performance Benefit from Intel MKL Matrix-Matrix Multiplication
June 22, 2017 by Leave a Comment
Video: HPE Moves HPC & Deep Learning Forward at ISC 2017
June 19, 2017 by Leave a Comment
“Today, customer’s HPC requirements go beyond superior performance and efficiency,” said Bill Mannel, Vice President and General Manager, HPC and AI solutions, Hewlett Packard Enterprise. “They are also increasingly considering security, agility and cost control. With today’s announcements, we are addressing these considerations and delivering optimized systems, infrastructure management and services capabilities that provide A New Compute Experience.”
ISC 2017 Announces Record Attendance
June 19, 2017 by Leave a Comment
Today ISC 2017 announced that a record 3200 HPC enthusiasts from 60 countries have registered for the conference. The event also received an international media spotlight, with 60 technical and business journalists on site to provide live coverage of the exhibition and the conference sessions.
Riding the Wave of Machine Learning and Deep Learning
June 14, 2017 by Leave a Comment
Artificial intelligence (AI) and machine learning — decades-old technologies that are now electrifying the computing industry — for all intents and purposes, seem to be in the process of transforming corporate America. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.
Microway GPU Systems for HPC & Deep Learning at GTC 2017
June 7, 2017 by Leave a Comment
In this video from the 2017 GPU Technology Conference, Eliot Eshelman from Microway describes the company’s GPU expertise and wide range of accelerated HPC products. “Since 1982, Microway has delivered high performance computing solutions. We have in-depth experience with demanding Linux-based scientific/engineering applications. Leveraging NVIDIA’s latest Tesla GPUs, our team will design a solution for your specific applications. Our experts ensure your system is delivered fully tested and ready to run!”
The New Nvidia HGX-1: GPU Power for Machine Learning at Hyperscale
May 25, 2017 by
Rob Ober from Nvidia describes the company’s new HGX-1 reference platform for GPU computing. “Powered by NVIDIA Tesla GPUs and NVIDIA NVLink high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalized healthcare to superhuman voice recognition—are taking off in the cloud.”
Supermicro Showcases Powerful GPU Solutions at GTC 2017
May 24, 2017 by
In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing. “Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar.”
Eric Barton Joins DDN as CTO for Software-Defined Storage
May 24, 2017 by
Today DDN appointed Eric Barton as the company’s chief technology officer for software-defined storage. In this role, Barton will lead the company’s strategic roadmap, technology architecture and product design for DDN’s newly created Infinite Memory Engine business unit. Barton brings with him more than 30 years of technology innovation, entrepreneurship and expertise in networking, distributed systems and storage software.
Drilling Down into Machine Learning and Deep Learning
May 22, 2017 by
Artificial intelligence and machine learning are rising in popularity as the needs of big data call for systems that exceed human capabilities. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.
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