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Tag Archives: gpu
More Tips on OpenACC Acceleration
One blog post may not be enough to present all tips for performance acceleration using OpenACC. So here, more tips on OpenACC acceleration are provided, complementing our previous blog post on accelerating code with OpenACC. Further tips discussed here are: … Continue reading
NVIDIA Tesla M40 24GB GPU Accelerator (Maxwell GM200) Up Close
NVIDIA has announced a new version of their popular Tesla M40 GPU – one with 24GB of high-speed GDDR5 memory. The name hasn’t really changed – the new GPU is named NVIDIA Tesla M40 24GB. If you are curious about … Continue reading
Accelerating Code with OpenACC and the NVIDIA Visual Profiler
Comprised of a set of compiler directives, OpenACC was created to accelerate code using the many streaming multiprocessors (SM) present on a GPU. Similar to how OpenMP is used for accelerating code on multicore CPUs, OpenACC can accelerate code on … Continue reading
NVIDIA Tesla M40 12GB GPU Accelerator (Maxwell GM200) Up Close
With the release of Tesla M40, NVIDIA continues to diversify its professional compute GPU lineup. Designed specifically for Deep Learning applications, the M40 provides 7 TFLOPS of single-precision floating point performance and 12GB of high-speed GDDR5 memory. It works extremely … Continue reading
Keras and Theano Deep Learning Frameworks
Here we will explore how to use the Theano and Keras Python frameworks for designing neural networks in order to accomplish specific classification tasks. In the process, we will see how Keras offers a great amount of leverage and flexibility … Continue reading
Caffe Deep Learning Tutorial using NVIDIA DIGITS on Tesla K80 & K40 GPUs
In this Caffe deep learning tutorial, we will show how to use DIGITS in order to train a classifier on a small image set. Along the way, we’ll see how to adjust certain run-time parameters, such as the learning rate, … Continue reading
Introducing the NVIDIA Tesla K80 GPU Accelerator (Kepler GK210)
NVIDIA has once again raised the bar on GPU computing with the release of the new Tesla K80 GPU accelerator. With up to 8.74 TFLOPS of single-precision performance with GPU Boost, the Tesla K80 has massive capability and leading density. … Continue reading
How to Benchmark GROMACS GPU Acceleration on HPC Clusters
We know that many of our readers are interested in seeing how molecular dynamics applications perform with GPUs, so we are continuing to highlight various packages. This time we will be looking at GROMACS, a well-established and free-to-use (under GNU GPL) … Continue reading
Benchmark MATLAB GPU Acceleration on NVIDIA Tesla K40 GPUs
MATLAB is a well-known and widely-used application – and for good reason. It functions as a powerful, yet easy-to-use, platform for technical computing. With support for a variety of parallel execution methods, MATLAB also performs well. Support for running MATLAB … Continue reading
Running GPU Benchmarks of HOOMD-blue on a Tesla K40 GPU-Accelerated Cluster
This short tutorial explains the usage of the GPU-accelerated HOOMD-blue particle simulation toolkit on our GPU-accelerated HPC cluster. Microway allows you to quickly test your codes on the latest high-performance systems – you are free to upload and run your … Continue reading