Speeding Up Computers
Janusz Kowalik (1), Piotr Ar{\l}ukowicz (1), Erika Parsons (2) ((1), University of Gda\'nsk, (2) University of Washington)
TL;DR
This paper compares GPGPU and MIC technologies for accelerating supercomputers, focusing on the newer MIC approach and highlighting key differences from the traditional GPGPU method from a user perspective.
Contribution
It provides a comparative analysis of MIC and GPGPU technologies, emphasizing the advantages and differences of MIC for supercomputing acceleration.
Findings
MIC offers distinct advantages over GPGPU in certain applications.
Differences between MIC and GPGPU impact user experience and performance.
The paper highlights the potential of MIC technology for future supercomputing.
Abstract
There are two distinct approaches to speeding up large parallel computers. The older method is the General Purpose Graphics Processing Units (GPGPU). The newer is the Many Integrated Core (MIC) technology . Here we attempt to focus on the MIC technology and point out differences between the two approaches to accelerating supercomputers. This is a user perspective.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques