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Video: FPGAs and Machine Learning

James Moawad and Greg Nash from Intel gave this talk at ATPESC 2019. “FPGAs are a natural choice for implementing neural networks as they can handle different algorithms in computing, logic, and memory resources in the same device. Faster performance comparing to competitive implementations as the user can hardcore operations into the hardware. Software developers can use the OpenCL device C level programming standard to target FPGAs as accelerators to standard CPUs without having to deal with hardware level design.”

An Alternative to OpenMP and an On-Ramp to Future C++ Standards

In this edition of Let’s Talk Exascale, Christian Trott of Sandia National Laboratories shares insights about Kokkos, a programming model for numerous Exascale Computing Project applications. “Kokkos is a programming model being developed to deliver a widely usable alternative to programming in OpenMP. It is expected to be easier to use and provide a higher degree of performance portability, while integrating better into C++ codes.”

Cisco to Acquire Exablaze

Cisco is announcing its intent to acquire Exablaze, a privately held, Australia-based designer and manufacturer of advanced network devices. Exablaze’s design and manufacturing innovation offer customers the latest Field Programmable Gate Array (FPGA) technology with the required flexibility and programmability for environments where ultra-low-latency and high performance is critical. These next-generation products include advanced ultra-low latency FPGA-based switches and network interface cards (NICs), as well as picosecond resolution timing technology. “In the case of the high frequency trading sector, every sliver of time matters. By adding Exablaze’s segment leading ultra-low latency devices and FPGA-based applications to our portfolio, financial and HFT customers will be better positioned to achieve their business objectives and deliver on their customer value proposition.”

Aldec’s new FPGA-based NVMe Data Storage Targets HPC Applications

Today Aldec, Inc. launched a powerful, versatile and time-saving FPGA-based NVMe Data Storage solution to aid in the development of High Performance Computing applications such as High Frequency Trading and Machine Learning. “NVMe SSDs are very popular in a wide range of high-performance computing applications, as are FPGAs because of their ability to handle parallel processing, their speed and programmability, plus the fact MPSoC FPGAs also feature ARM processor cores,” comments Louie De Luna, Director of Marketing. “Our newest FPGA-based embedded solution is aimed at engineers developing systems that will combine the power and benefits of NVMe and FPGAs.”

Cortical.io Demonstrates Real-time Semantic Supercomputing for NLU

Today Cortical.io announced the debut of a new class of high-performance enterprise applications based on “Semantic Supercomputing.” Semantic Supercomputing combines Cortical.io AI-based NLU software inspired by neuroscience with hardware acceleration to create new solutions to understand and process streams of natural language content at massive scale in real time. “We are taking the concept of supercomputing to the next level with the introduction of Semantic Supercomputing and the ability to deliver real-time processing of semantic content.”

Accelerate Big Data and HPC applications with FPGAs using JupyterHub

Today InAccel annnounced that it has integrated JupyterHub into the company’s adaptive acceleration platform for FPGAs. InAccel provides an FPGA resource manager that allows the instant deployment, scaling and virtualization of FPGAs making easier than ever the utilization of FPGA clusters for applications like machine learning, data processing, data analytics and many more HPC workloads.

Xilinx Alveo Accelerators Power Real-Time AI-based Intrusion Detection Service

Today Xilinx announced that SK Telecom has adopted Xilinx Alveo Datacenter Accelerator cards to power a real-time AI-based physical intrusion and theft detection service. SK Telecom’s AI inference accelerator (AIX) implemented on Xilinx Alveo cards provides efficient and accurate physical intrusion detection using deep neural networks. “In the era of Artificial Intelligence where new services are being deployed at unprecedented rates, we keep pursuing to innovate our cloud systems to deliver more value to our customers with more reliable and efficient services across diverse segments.”

Cortical.io Demonstrates Natural Language Understanding Inspired by Neuroscience

In this video, Cortical.io CEO Francisco Webber demonstrates how the company’s software running on Xilinx FPGAs breaks new ground in the field of natural language understanding (NLU). “Cortical.io delivers AI-based Natural Language Understanding solutions which are quicker and easier to implement and more capable than current approaches. The company’s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text.”

Vitis Unified Software Platform to make FPGA Programming Accessible for All Developers

Since their beginnings, FPGA’s have been notorious for being hard to program. That could be changing with the new Vitis Unified Software Platform from Xilinx.n“Xilinx has created a singular environment that enables programmers and engineers from all disciplines to co-develop and optimize both their hardware and software, using the tools and frameworks they already know and understand. This means that they can adapt their hardware architecture to their application without the need for new silicon.”

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.