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- Title
High-Performance Physical Simulations on Next-Generation Architecture with Many Cores.
- Authors
Yen-Kuang Chen; Chhugani, Jatin; Hughes, Christopher J.; Daehyun Kim; Kumar, Sanjeev; Lee, Victor; Lin, Albert; Nguyen, Anthony D.; Sifakis, Eftychios; Smelyanskiy, Mikhail
- Abstract
Physical simulation applications model and simulate complex natural phenomena. The computational complexity of real-time physical simulations far exceeds the capabilities of modern unicore microprocessors, which are limited to only tens of billions floating- point operations per second (FLOPS). However, the advent of multi-core architectures promises to soon make processors with trillions of FLOPS available. Such processors are also known as tera-scale processors. Physical simulations can exploit this huge increase in computational capability to increase realism, enable interactivity, and enrich a user's visual experience. In this work, we study physical simulation applications in two broad categories: production physics and game physics. After parallelization, the benchmark applications achieve parallel scalabilities of 30×-60× on a simulated chip-multiprocessor with 64 cores. We examine the memory requirements of physical simulation applications and find that they require cache sizes in excess of 128MB and main memory bandwidths in excess of hundreds of GB/s for real-time performance. A radical re-design of the memory hierarchy may be necessary for the multi-core terascale era to provide good scaling for this type of application.
- Subjects
REAL-time control; REAL-time computing; MICROPROCESSORS; FLOATING-point arithmetic; COMPUTER architecture; BANDWIDTHS
- Publication
Intel Technology Journal, 2007, Vol 11, Issue 3, p1
- ISSN
1535-864X
- Publication type
Article
- DOI
10.1535/itj.1103.08