How to exploit data independently of the CPU.
As an industry, if real progress is to be made towards the level of computing that the future mandates, then the way computing problems are attacked must change. The von Neumann execution model has and will continue to serve us well, but additional techniques must be brought to bear.
The next logical focus area is data—how it is accessed, and how it is transformed into real information—that leads to newer solutions. No longer can all of memory simply continue to be an element that holds the program commands and data during execution. Memory must become an active part of the solution, rather than a necessary evil.
The first step in what is likely to be a protracted journey is to provide a vehicle that allows it to be exploited independently of the CPU. Rambus is doing just that through the creation of their Smart Data Acceleration (SDA) Research Program. To read more, click here.
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Engineers are finding ways to effectively thermally dissipate heat from complex modules.
Increased transistor density and utilization are creating memory performance issues.
Lots of unknowns will persist for decades across multiple market segments.
FPGAs, CPUs, and equipment receive funding in China; 98 startups raise over $2 billion.
Disaggregation and the wind-down of Moore’s Law have changed everything.
Increased transistor density and utilization are creating memory performance issues.
Why UCIe is so important for heterogeneous integration.
Funding rolls in for photonics and batteries; 88 startups raise $1.3B.
It depends on whom you ask, but there are advantages to both.
FPGAs, CPUs, and equipment receive funding in China; 98 startups raise over $2 billion.
After years of research, chipmakers have started combining ultra low-power designs with advancements in harvesting technology.
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