What kind of storage infrastructure are they planning to use?
We need the new optical interconnects (1.6 terabits/s) promised by Intel now.
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Purdue is building a cluster with Xeons plus the Xeon Phi. Impressive statistics but all for non-bioinformatics programs (if you discount modeling as being bioinformatics). The Phi (for those who do not know) is basically a 1GHz, 60-core, 4-thread-per-core, 8 GB extremely fast memory x386 chip that is optimized for floating point. So if I had a program that could work with 240 threads then the Phi would be great. But I am wracking my brain for a bioinformatics program that could actually use 240 threads without creating I/O bottlenecks. Any ideas?
Oh yes, going back to GenoMax's post, the presenters at the seminar I went to today did say that the same code will run on the 8-core Xeon chip and the 60-core Phi processor.Leave a comment:
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Intel Xeon Phi co-processors - Supercomputer on a chip
Intel announced Xeon Phi co-processors with a claimed teraflop of performance in a PCIe form factor.
http://blogs.intel.com/technology/20...nd-innovation/
Any code that runs on standard xeon is supposed to run on this.
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...10-14-2026, 09:55 AM -
Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
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