Stanford’s TETRIS Clears Blocks for 3D Memory Based Deep Learning
The need for speed to process neural networks is far less a matter of processor capabilities and much more a function of memory bandwidth. …
The need for speed to process neural networks is far less a matter of processor capabilities and much more a function of memory bandwidth. …
There is something to be said for being at the right place at the right time. …
In the server virtualization era, there were a couple of virtual machine formats and hypervisors to match them, and despite the desire for a common VM format, the virtual server stacks got siloed into ESXi, KVM, Xen, and Hyper-V stacks with some spicing of PowerVM, Solaris containers and LDOMs, and VM/ESA partitions sprinkled on. …
So, who was the biggest revenue generator, and showing the largest growth in sales, for servers in the final quarter of 2016? …
There is an adage, not quite yet old, suggesting that compute is free but storage is not. …
Exascale computing, which has been long talked about, is now – if everything remains on track – only a few years away. …
With a new generation of Xeon processors coming out later this year from Intel and AMD trying to get back in the game with its own X86 server chips – they probably will not be called Opterons – it is not a surprise to us that server makers are having a bit of trouble making their numbers in recent months. …
Computed tomography (CT) is a widely-used process in medicine and industry. …
Moore’s Law has been the driving force behind computer evolution for more than five decades, fueling the relentless innovation that led to more transistors being added to increasingly smaller processors that rapidly increased the performance of computing while at the same time driving down the cost. …
The idea of bringing compute and memory functions in computers closer together physically within the systems to accelerate the processing of data is not a new one. …
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