Thursday, April 18, 2019

Working with GPUs for Accelerated Computing: An Open Source Approach

A Convergence for Computing







GizmoQuest Computing Lab is an Open Source, Independent laboratory which currently empowers Bioinformatics research, with the help of an air-cooled and a liquid cooled computer to accelerate computational simulations and bring out results much faster with GPUs. The lab was recently used to author and publish a book on GPU Computing: https://amzn.to/2YxrLTl
 

Here is a look at our liquid-cooled computer in action!




We are in the process of relocating to a separate location dedicated for the lab.


Background


This laboratory caters to the growing requirements of accelerated research. It is connected to a 75 mbps internet connection and is used for a wide variety of applications. It provides modern computational and facilities currently for all kinds of research. It especially provides support for GPU Accelerated Computing. It remains busy during all working days.

Description


The aim of this laboratory is to provide required Computing and Simulations facilities to creative learners, researchers and PhD students in order to meet their requirements of the growing trends in Bioinformatics and Science. The main emphasis is to do project work in lesser time with the use of GPUs and deep learning. Collaborative research is highly encouraged!

Primary Hardware Configuration


AMD Ryzen 7 2700X Processor at 3.7 Ghz
AMD Radeon VII 16 GB HBM2 GPU (Vega 20 Architecture)
32 GB Corsair DDR4 RAM
500 GB WD M2 SSD Blue
4 TB Western Digital HDD Red

Secondary Hardware Configuration


Intel Core i7 4770K Processor at 3.5 Ghz
Nvidia Titan X 12 GB DDR5 GPU (Maxwell Architecture)
32 GB GSkill DDR3 RAM
256 GB Adata SSD
2 TB Western Digital HDD Green


Upcoming Projects/Ideas


In the field of genomics, a simple modern run of DNA sequencing can take up to 1 TB per run according to computational biologists. So a 4 TB storage would take care of that requirement. Also, the transfer rate of the new Radeon VII happens to be 1 TB/s with 1:4 FP64 performance at 3.46 TFLOPS (great at the consumer level)!




Please click on the image to maximize | Based on benchmark data from anandtech.com



This Mini Open Source Lab will be open to all diverse computational fields and not just Science. One great example would be Computational Archaeology. Such ideas could help preserve heritage sites such as the Kailash temple at Ellora!



We're very much eager to explore the field of Computational Psychiatry and Computational Psychology especially through Video Games. The BIG 5 Domains of Play have been explored and explained many times by Jason VandenBerghe at Game Developers Conference (GDC) events.




We look forward to exploring the actively updated Open Source ROCm stack from AMD: a new era in Open GPU Computing!


Current Line of Work


Currently we work with Computational Biology experiments through GPU powered Bioinformatics. It is necessary at this time for our founding member, Avimanyu Bandyopadhyay to finish his PhD.



Working Hours (Includes Manual/Automated)


9:00 AM - 12:00 AM IST (Subject to Change)

Contact


[email protected]

+919874850086

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