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Deep Learning with the Intel Xeon Phi Processor

“An environment that assists in deep learning usually consists of algorithms that can draw conclusions from data that is run at very high speeds. Processors such as the Intel Xeon Phi Processor that contain a significant number of processing cores and operate in a SIMD mode are critical to these new environments. With the Intel Xeon Phi processor, new insights can be discovered from either existing data or new data sources.”

Radio Free HPC Looks at Alternative Processors for High Performance Computing

In this podcast, the Radio Free HPC team looks at why it’s so difficult for new processor architectures to gain traction in HPC and the datacenter. Plus, we introduce a new regular feature for our show: The Catch of the Week.

Machine Learning and the Intel Xeon Phi Processor

“With up to 72 processing cores, the Intel Xeon Phi processor x200 can accelerate applications tremendously. Each core contains two Advanced Vector Extensions, which speeds up the floating point performance. This is important for machine learning applications which in many cases use the Fused Multiply-Add (FMA) instruction.”

Successful Implementations That Demand Flexible HPC

Organizations that implement high-performance computing (HPC) technologies have a wide range of requirements. From small manufacturing suppliers to national research institutions, using significant computing technologies is critical to creating innovative products and leading-edge research. No two HPC installations are the same. For maximum return, budget, software requirements, performance and customization all must be considered before installing and operating a successful environment.

TYAN Solutions for Flexible HPC

Organizations that implement high-performance computing (HPC) technologies have a wide range of requirements. From small manufacturing suppliers to national research institutions, using significant computing technologies is critical to creating innovative products and leading-edge research. No two HPC installations are the same. “For maximum return, budget, software requirements, performance and customization all must be considered before installing and operating a successful environment.”

RSC Tornado with Intel Xeon Phi Sports 528 Teraflops Per Cabinet

Today the RSC Group out of Russia announced a new generation of high-performance scalable and energy-efficient RSC Tornado solution with direct liquid cooling based on the newest multi-core Intel Xeon Phi processor (previously code named as Knights Landing) on the day of global launch of this product. The new RSC solution has improved physical and computing density, high energy efficiency and provides stable operation in “hot water” mode with +63 °С cooling agent temperature.

Intel Furthers Machine Learning Capabilities

“Intel provided a wealth of machine learning announcements following the Intel Xeon Phi processor (formerly known as Knights Landing) announcement at ISC’16. Building upon the various technologies in Intel Scalable System Framework, the machine learning community can expect up to 38% better scaling over GPU-accelerated machine learning and an up to 50x speedup when using 128 Intel Xeon Phi nodes compared to a single Intel Xeon Phi node. The company also announced an up to 30x improvement in inference performance (also known as scoring or prediction) on the Intel Xeon E5 product family due to an optimized Intel Caffe plus Intel Math Kernel Library (Intel® MKL) package.”

Industries That Need Flexible HPC

Organizations that implement high-performance computing technologies have a wide range of requirements. From small manufacturing suppliers to national research institutions, using significant computing technologies is critical to creating innovative products and leading-edge research. No two HPC installations are the same. “For maximum return, budget, software requirements, performance and customization all must be considered before installing and operating a successful environment.”

Requirements in HPC Environments

Organizations that implement high-performance computing (HPC) technologies have a wide range of requirements. From small manufacturing suppliers to national research institutions, using significant computing technologies is critical to creating innovative products and leading-edge research. No two HPC installations are the same. “For maximum return, budget, software requirements, performance and customization all must be considered before installing and operating a successful environment.”

InsideHPC Guide To Flexible HPC

While all users of HPC technology want the fastest performance available, price and power consumption always seem to come into play, whether in the initial planning or at a later time. Standard performance measures exist that may or may not relate to an end user’s application mix, but it is important to understand the various benchmark results that go into determining the performance of a CPU, a server or an overall cluster.