This white paper sponsored by Dell Technologies, takes a look at how now more than ever, agencies from all levels of government are teaming with private Information Technology (IT) organizations to leverage AI and HPC to create and implement solutions that not only increase safety for all, but also provide a more streamlined and modern experience for citizens.
insideHPC Dell Special Report – Citizens Benefit from Public/Private Partnerships
May 20, 2020 by Leave a Comment
Rugged COTS Platform Takes On Fast-Changing Needs of Self-Driving Trucks
April 24, 2020 by Leave a Comment
This white paper by Advantech, “Rugged COTS Platform Takes On Fast-Changing Needs of Self-Driving Trucks” discusses how the fast-changing needs of self-driving trucks are forcing compute platforms to evolve. Advantech and Crystal Group are teaming up to power that evolution based on AV trends, compute requirements, and a rugged COTS philosophy converging for breakthrough innovation in self-driving truck designs.
The Role of Middleware in Optimizing Vector Processing
March 24, 2020 by Leave a Comment
This whitepaper delves into the world of unstructured data and describes some of the technologies, especially vector processors and their optimization software, that play key roles in solving the problems that arise as result of the accelerating amount of data generated globally.
Is Your Storage Infrastructure Ready for the Coming AI Wave?
March 20, 2020 by Leave a Comment
In this new whitepaper from our friends over at Panasas, we take a look at whether your storage infrastructure is ready for the robust requirements in support of AI workloads. AI promises to not only create entirely new industries, but it will also fundamentally change the way organizations large and small conduct business. IT planners need to start revising their storage infrastructure now to prepare the organization for the coming AI wave.
Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job
October 15, 2019 by Leave a Comment
In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.
Five Essential Strategies for Successful HPC Clusters
April 8, 2019 by Leave a Comment
Successful HPC clusters are powerful assets for an organization. However, these systems are complex and must be built and managed properly to realize their potential. If not done properly, your ability to meet implementation deadlines, quickly identify and resolve problems, perform updates and maintenance, accommodate new application requirements and adopt strategic new technologies will be jeopardized. Download the new white paper from Bright Computing that explores key strategies for HPC clusters.
An insideHPC Guide: Augmented Intelligence in Government
February 5, 2019 by Leave a Comment
Today, through their ability to adapt, solve problems and simulate human intelligence, AI-based applications are being used across industries and sectors to supplement human ability. Download the new special report from insideHPC, “Augmented Intelligence in Government,” brought to you by Dell, to discover the latest technologies that underpin AI, explore current machine learning applications in government, learn from real-world successes, and see how government agencies can benefit from AI.
A Survey of FPGA-based Accelerators for Convolutional Neural Networks
September 30, 2018 by Leave a Comment
Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a wide range of cognitive tasks and due to this, they have received significant interest from the researchers. Given the high computational demands of CNNs, custom hardware accelerators are vital for boosting their performance. The high energy-efficiency, computing capabilities and reconfigurability of FPGA make it a promising platform for hardware acceleration of CNNs. In this paper, we present a survey of techniques for implementing and optimizing CNN algorithms on FPGA. We organize the works in several categories to bring out their similarities and differences. This paper is expected to be useful for researchers in the area of artificial intelligence, hardware architecture and system-design.
Enhancing Diagnostic Quality and Productivity with AI
July 19, 2018 by Leave a Comment
This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost.
Machine Learning in Energy: A Hot Spot in Seismic Processing
May 29, 2018 by Leave a Comment
Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs. Download the new insideHPC special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies.
