Shasta Sets Up Cray For Commercial HPC And Supercomputing Expansion
If you look at the very long history of Cray, the company has done a remarkable job expanding its market, not just participating in it. …
If you look at the very long history of Cray, the company has done a remarkable job expanding its market, not just participating in it. …
Applications do not need to use all elements of a system all the time, and usually not all at the same time for that matter. …
The center of gravity for data is continuing to shift from core datacenters to other parts well beyond the walls of those facilities. …
There hardly seems to be a month that doesn’t go by without a different IT supplier being rumored to want to acquire network device provider Mellanox Technologies, which has an intense focus on the high end, scale out, low latency segment of the datacenter switching market. …
Ayar Labs, a silicon photonics startup based in Emeryville, California, is getting set to tape out its electro-optical I/O chip, which will become the basis of its first commercial product. …
Anyone operating at network at scale almost has to, by definition, hack together their own network operating system. …
Sharing data via remote direct memory access (RDMA) has typically been a local affair, restricted to a single server or tightly bound clusters of servers. …
Barefoot Networks is on a mission, and it is a simple one: To give datacenter switches the same kind of openness and programmability that X86 servers have enjoyed for decades in the datacenter. …
The “Great Lakes” supercomputer at the University of Michigan is the first cluster in the world to make use of 200 Gb/sec HDR InfiniBand switching from Mellanox Technology, which is sold under the Quantum brand. …
The twice-annual ranking of distributed computing systems based on the Linpack parallel Fortran benchmark, a widely used and sometimes maligned test, is as much a history lesson as it is an expectation always looking forward, with anticipation, to the next performance milestones in high performance computing. …
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