Author Archives: Eliot Eshelman

Eliot Eshelman

About Eliot Eshelman

My interests span from astrophysics to bacteriophages; high-performance computers to small spherical magnets. I've been an avid Linux geek (with a focus on HPC) for more than a decade. I work as Microway's Vice President of Strategic Accounts and HPC Initiatives.

DGX A100 review: Throughput and Hardware Summary

Posted on June 26, 2020 by Eliot Eshelman

When NVIDIA launched the Ampere GPU architecture, they also launched their new flagship system for HPC and deep learning – the DGX 100. This system offers exceptional performance, but also new capabilities. We’ve seen immediate interest and have already shipped … Continue reading →

Deploying GPUs for Classroom and Remote Learning

Posted on May 22, 2020 by Eliot Eshelman

As one of NVIDIA’s Elite partners, we see a lot of GPU deployments in higher education. GPUs have been proving themselves in HPC for over a decade, and they are the de-facto standard for deep learning research. They’re also becoming … Continue reading →

Intel Xeon Scalable “Cascade Lake SP” Processor Review

Posted on April 2, 2019 by Eliot Eshelman

With the launch of the latest Intel Xeon Scalable processors (previously code-named “Cascade Lake SP”), a new standard is set for high performance computing hardware. These latest Xeon CPUs bring increased core counts, faster memory, and faster clock speeds. They … Continue reading →

GPU-accelerated HPC Containers with Singularity

Posted on April 11, 2017 by Eliot Eshelman

Fighting with application installations is frustrating and time consuming. It’s not what domain experts should be spending their time on. And yet, every time users move their project to a new system, they have to begin again with a re-assembly … Continue reading →

NVIDIA Tesla P40 GPU Accelerator (Pascal GP102) Up Close

Posted on February 7, 2017 by Eliot Eshelman

As NVIDIA’s GPUs become increasingly vital to the fields of AI and intelligent machines, NVIDIA has produced GPU models specifically targeted to these applications. The new Tesla P40 GPU is NVIDIA’s premiere product for deep learning deployments. It is specifically … Continue reading →

Comparing NVLink vs PCI-E with NVIDIA Tesla P100 GPUs on OpenPOWER Servers

Posted on January 26, 2017 by Eliot Eshelman

The new NVIDIA Tesla P100 GPUs are available with both PCI-Express and NVLink connectivity. How do these two types of connectivity compare? This post provides a rundown of NVLink vs PCI-E and explores the benefits of NVIDIA’s new NVLink technology.

NVIDIA Tesla P100 NVLink 16GB GPU Accelerator (Pascal GP100 SXM2) Up Close

Posted on January 18, 2017 by Eliot Eshelman

The NVIDIA Tesla P100 NVLink GPUs are a big advancement. For the first time, the GPU is stepping outside the traditional “add in card” design. No longer tied to the fixed specifications of PCI-Express cards, NVIDIA’s engineers have designed a … Continue reading →

NVIDIA Tesla P100 PCI-E 16GB GPU Accelerator (Pascal GP100) Up Close

Posted on December 28, 2016 by Eliot Eshelman

NVIDIA’s new Tesla P100 PCI-E GPU is a big step up for HPC users, and for GPU users in general. Although other workloads have been leveraging the newer “Maxwell” architecture, HPC applications have been using “Kepler” GPUs for a couple … Continue reading →

NVIDIA Tesla P100 Price Analysis

Posted on August 1, 2016 by Eliot Eshelman

Now that NVIDIA has launched their new Pascal GPUs, the next question is “What is the Tesla P100 Price?” Although it’s still a month or two before shipments of P100 start, the specifications and pricing of Microway’s Tesla P100 GPU-accelerated … Continue reading →

Can I use Deep Learning?

Posted on June 30, 2016 by Eliot Eshelman

If you’ve been reading the press this year, you’ve probably seen mention of deep learning or machine learning. You’ve probably gotten the impression they can do anything and solve every problem. It’s true that computers can be better than humans … Continue reading →