Download The Green Computing Book: Tackling Energy Efficiency at by Wu-chun Feng PDF

By Wu-chun Feng

State-of-the-Art ways to strengthen the Large-Scale eco-friendly Computing Movement

Edited by means of one of many founders and lead investigator of the Green500 checklist, The eco-friendly Computing booklet: Tackling strength potency at huge Scale explores seminal examine in large-scale eco-friendly computing. It starts off with low-level, hardware-based ways after which traverses up the software program stack with more and more higher-level, software-based approaches.

In the 1st bankruptcy, the IBM Blue Gene staff illustrates tips on how to enhance the strength potency of a supercomputer through an order of value with none method functionality loss in parallelizable functions. the following couple of chapters clarify how you can improve the strength potency of a large-scale computing method through compiler-directed power optimizations, an adaptive run-time process, and a basic prediction functionality framework. The e-book then explores the interactions among strength administration and reliability and describes garage process association that maximizes power potency and reliability. It additionally addresses the necessity for coordinated energy keep an eye on throughout assorted layers and covers call for reaction regulations in computing facilities. the ultimate bankruptcy assesses the effect of servers on info heart costs.

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Extra info for The Green Computing Book: Tackling Energy Efficiency at Large Scale

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2), enabling high performance on dense matrix operations. The second of these was again the integrated torus network, which, with careful decomposition of the problem, delivers scalable communications. , the problem size grows with the size of the machine). 4 shows perfect weak scaling from 1,024 to 131,072 cores for two different solution methods. Again, the integrated torus network was key to delivering this result. 4 Application Scaling Performance for QCD (Quantum Chromo Dynamics) on Blue Gene/L as measured in the context of Reference 43.

This dense packaging is enabled by the relatively low power of each individual socket. In comparison, a typical rack from other vendors contains about 100 sockets due to power constraints. 1). 6 GF/s 8 MB EDRAM The packaging hierarchy of the Blue Gene/P system. Each chip has four cores. With 32 chips on a node card and 32 node cards per racks, it has 1,024 chips or 4,096 cores in a rack. GF, gigaflops; TF, teraflops; PF, petaflops, EDRAM, embedded DRAM. 4 smaller set of compute cards as “I/O nodes” to connect to the file system.

On Blue Gene/L and /P, the waiting takes the form of a polling loop in which both code and data reside in the processor’s L1 cache, effectively quiescing the rest of the memory system. As the memory system is one of the large power draws, this technique reduces overall power consumption. On Blue Gene/Q, CNK goes further and parks all but one of the 68 hardware threads in wait instructions, where they consume no execution unit or memory system resources at all. ) When a command arrives from the I/O node, the Blue Gene/Q wakeup unit will break one thread out of its wait instruction.

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