In a world where GPUs have tens of billions of transistors and chip manufacturing techniques are costly and yields are particularly tough because of the largesse of these devices, every chip that comes of out the foundry is sacred. …
It is hard to remember sometimes way back when, in 2008, as Nvidia first took a stab at GPU compute in the datacenter with the original Tesla GPU accelerators and a very rudimentary CUDA programming environment for offloading parallel algorithms from CPUs to GPUs. …
A system is more than its central processor, and perhaps at no time in history has this ever been true than right now. …
In the first part of this series on the proposed Cache Coherence Interconnect for Accelerators (CCIX) standard, we talked about the issues of cache coherence and the need to share memory across various kinds of compute elements in a system. …
The past decade or so has seen some really phenomenal capacity growth and similarly remarkable software technology in support of distributed-memory systems. …
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