Tag Archives: tesla

NVIDIA Tesla K40 “Atlas” GPU Accelerator (Kepler GK110b) Up Close

Posted on November 18, 2013 by Eliot Eshelman

NVIDIA’s latest Tesla accelerator is without a doubt the most powerful GPU available. With almost 3,000 CUDA cores and 12GB GDDR5 memory, it wins in practically every* performance test you’ll see. As with the “Kepler” K20 GPUs, the Tesla K40 … Continue reading →

CUDA Code Migration (Fermi to Kepler Architecture) on Tesla GPUs

Posted on October 27, 2013 by Justin Foley (for Microway)

The debut of NVIDIA’s Kepler architecture in 2012 marked a significant milestone in the evolution of general-purpose GPU computing. In particular, Kepler GK110 (compute capability 3.5) brought unrivaled compute power and introduced a number of new features to enhance GPU … Continue reading →

NVIDIA Tesla K20 GPU Accelerator (Kepler GK110) Up Close

Posted on August 22, 2013 by Eliot Eshelman

NVIDIA’s Tesla K20 GPU is currently the de facto standard for high-performance heterogeneous computing. Based upon the Kepler GK110 architecture, these are the GPUs you want if you’ll be taking advantage of the latest advancements available in CUDA 5.0 and … Continue reading →

5 Easy First Steps on GPUs – Accelerating Your Applications

Posted on April 26, 2013 by Eliot Eshelman

This week NVIDIA provided a tutorial outlining first steps for GPU acceleration using OpenACC and CUDA. This was offered as part of the “GPUs Accelerating Research” week at Northeastern University and Boston University. After attending, it seemed appropriate to review … Continue reading →

NVIDIA Tesla K10 GPU Accelerator (Kepler GK104) Up Close

Posted on September 7, 2012 by Eliot Eshelman

NVIDIA is now shipping their 4.58 TFLOPS single-precision floating point GPUs. The Tesla K10 GPU Accelerators, based upon the Kepler GK104 architecture, are the first Teslas available from this new generation of products. They are designed for single-precision float-point applications, … Continue reading →

Inside NVIDIA Kepler – Live from GTC 2012

Posted on May 16, 2012 by Eliot Eshelman

Compute performance has been exponentially increasing for the entirety of your life – it doesn’t matter what your age is. This week at NVIDIA’s GTC 2012 conference, we’ve seen that GPUs are still leading the charge. The new NVIDIA “Kepler” … Continue reading →

GPU Performance without GPU Coding

Posted on January 13, 2012 by Eliot Eshelman

I think everyone in the HPC arena has heard plenty about GPUs. GPUs aren’t sophisticated like CPUs, but they provide raw performance for those who know how to use them. The question for those who have large computational workloads has … Continue reading →

nvidia-smi: Control Your GPUs

Posted on December 5, 2011 by Eliot Eshelman

This post was last updated on 2018-11-05 Most users know how to check the status of their CPUs, see how much system memory is free, or find out how much disk space is free. In contrast, keeping tabs on the … Continue reading →