NVIDIA Tesla K40 is now the leading Tesla GPU for performance. Here are some important use-cases where Tesla K40 might greatly accelerate your GPU-accelerated applications: Pick Tesla K40 for Large Data Sets GPU memory has always been…
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 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…
This post is Topic #3 (post 3) in our series Parallel Code: Maximizing your Performance Potential. Many applications contain algorithms which make use of multi-dimensional arrays (or matrices). For cases where threads need to index the higher…
With the introduction of Intel’s new Xeon E5-2600v2 processors, there are exciting new choices for HPC users. Overall, the Xeon E5-2600 series processors have provided the highest cost-effective HPC performance available to date. This new set of…
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…
This post is Topic #3 (part 1) in our series Parallel Code: Maximizing your Performance Potential. CUDA devices have several different memory spaces: Global, local, texture, constant, shared and register memory. Each type of memory on the…
This post is Topic #2 (part 2) in our series Parallel Code: Maximizing your Performance Potential. In my previous post, CUDA Host/Device Transfers and Data Movement, I provided an introduction into the bottlenecks associated with host/device transfers…
This post is Topic #2 (part 1) in our series Parallel Code: Maximizing your Performance Potential. In post #1, I discussed a few ways to optimize the performance of your application via controlling your threads and provided…
This post is Topic #1 in our series Parallel Code: Maximizing your Performance Potential. Regardless of the environment or architecture you are using, one thing is certain: you must properly manage the threads running in your application to…
