What is it?
Parallel computing refers to a method of using multiple computing resources at the same time to solve a computational problem. During the process, many instructions are executed simultaneously. The basic concept is to divide the content to be calculated into discrete parts, and then solve the problem by using multiple execution methods.
Why do you need it?
A traditional method of computation involves performing software operations on a single computer (with a single central processing unit). The CPU uses a series of instructions to solve the problem in sequence, but only one of the instructions can be executed at a time. Parallel computing is an evolution of this sequence calculation method, with an intention to simulate the state of the natural world, where events occur simultaneously and can be processed in parallel at the same time. According to this principle, the processing speed of complex instructions can be accelerated, and computation time can be reduced.
How is GIGABYTE helpful?
GIGABYTE's G-Series Servers feature a variety of GPU accelerator card expansion slots, which allow the benefits of parallel computing to be realized by utilizing the processing power of a multi-core GPU. The G291-2G0 can accommodate up to 16 NVIDIA T4/P4 accelerator cards in a 2U chassis, making it suitable for artificial intelligence inferencing workloads, such as: speech recognition, image and video processing, online shopping or video streaming recommendation systems, etc. NVIDIA’s Tesla T4 is designed to provide scale-up expansion of a single server’s acceleration compute capabilities, reducing inferencing delay by a factor of 10 and providing incredible compute energy efficiency 40 times higher than a CPU.
By using GIGABYTE, Spain’s Institute for Cross-Disciplinary Physics and Complex Systems is pitting the world’s foremost server solutions against some of the world’s most pressing issues, including the effects of climate change, the effects of pollution, and the COVID-19 pandemic. GIGABYTE servers are up to the diverse and daunting tasks, because they are designed for high performance computing, intensive numerical simulations, AI development, and big data management.
The Institute of Theoretical and Computational Chemistry at the University of Barcelona has increased the capacity of their on-campus data center by over 40% with a new cluster of GIGABYTE servers. Hundreds of researchers will benefit from the computing power of AMD EPYC™ processors. Administrators can easily manage the cluster with GIGABYTE Server Management (GSM), a proprietary multiple server remote management software platform provided for free by GIGABYTE.
Arizona’s Lowell Observatory is studying the Sun with GIGABYTE’s G482-Z50 GPU Server in an effort to filter out “stellar noise” when looking for habitable planets outside of our Solar System. The server’s AMD EPYC™ processors, parallel computing capabilities, excellent scalability, and industry-leading stability are all features that qualify it for this astronomical task, making the discovery of a true “Twin Earth” achievable within our lifetime.
GIGABYTE is pleased to publish our first long-form “Tech Guide”: an in-depth, multipart document shedding light on important tech trends or applications, and presenting possible solutions to help you benefit from these innovations. In this Tech Guide, we delve into the making of “Data Centers”—what they are, who they are for, what to keep in mind when building them, and how you may build your own with products and consultation from GIGABYTE.