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Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job

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

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

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

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

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

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. 

Introducing 200G HDR InfiniBand Solutions

As the first to 40Gb/s, 56Gb/s and 100Gb/s bandwidth, Mellanox has both boosted data center and cloud performance and improved return on investment at a pace that exceeds its own roadmap. To that end, Mellanox has now announced that it is the first company to enable 200Gb/s data speeds with Mellanox Quantum switches, ConnectX-6 adapters, and LinkX cables combining for an end-to end 200G HDR InfiniBand solution in 2018. Download the new report, courtesy of Mellanox Technologies, to lean more about 200G HDR InfiniBand solutions. 

Reinventing the Retail Industry Through Machine and Deep Learning

Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideHPC special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry. 

Unsupervised Machine Learning on a Hybrid Quantum Computer

We show that our algorithm has robustness to quantum processor noise, and we find evidence that classical optimization can be used to train around both coherent and incoherent hardware imperfections. Beating the best classical benchmarks will require more qubits and better performance, but hybrid proofs-of-concept like this one form the basis of valuable applications for the first quantum computers.

Enabling Next-Generation Platforms Using Intel’s 3D System-in-Package Technology

This white paper evaluates system requirements for next-generation platforms and explains why conventional solutions may no longer be able to meet these requirements effectively. The paper introduces the heterogeneous 3D system- in-package (SiP) technology featured in Intel Stratix 10 FPGAs and SoCs. This technology enables next-generation platforms by powering higher bandwidth, lower power, a smaller form factor, and increased functionality and fledibility. Stratix 10 FPGAs and SoCs feature 3D SiP-based transceivers across all densities.