CCIX Enables Machine Learning


It takes a lot of technology to enable something like machine learning, and not all of it is as glamorous as neural network architectures and algorithms. Several levels below that is the actual hardware on which these run, and that brings us into the even less sexy world of interfaces. One such interface, the Cache Coherent Interconnect for Accelerators (CCIX), pronounced C6, aims to make th... » read more

The Secret Life Of Accelerators


Accelerator chips increasingly are providing the performance boost that device scaling once provided, changing basic assumptions about how data moves within an electronic system and where it should be processed. To the outside world, little appears to have changed. But beneath the glossy exterior, and almost always hidden from view, accelerator chips are becoming an integral part of most des... » read more

Mask Modeling In The EUV Era


D2S reviews the challenges of mask modeling in the EUV era, including the need for dose/shape separation and mid-range correction, and the impact of GPU acceleration. https://youtu.be/iVqkoVMbK4o » read more

Age Of Acceleration


A shift from the fastest processors to accelerating specific functions is underway, supplanting an era of dark silicon in which one or more processor cores remain in a ready state whenever a single core's performance bogs down. In effect, the dark silicon/multi-core approach is being scrapped for many functions in favor of an accelerator-based microarchitecture that is far more granular. The... » read more

Hardware/Software Tipping Point


It doesn't matter if you believe [getkc id="74" comment="Moore's Law"] has ended or is just slowing down. It is becoming very clear that design in the future will be significant different than it is today. Moore's law allowed the semiconductor industry to reuse design blocks from previous designs, and these were helped along by a new technology node—even if it was a sub-optimal solution. I... » read more

Capturing The Future, Frame By Frame


A lot has changed over the past year, and more changes are on the way. Consider what's happening in API tracing. All of the functions from the Vulkan specification can be traced correctly in MGD. This means that you will be able to see exactly what Vulkan calls your application makes and in what order. You will also be able to see what threads each of these function calls occur in. Figu... » read more

Supporting CPUs Plus FPGAs (Part 3)


While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » read more

Conflicting Goals In Data Centers


Two conflicting goals are emerging inside of data centers—speed at any cost, and the ability to extend hardware well beyond its expected lifetime to amortize that cost. Layered across both of those are concerns about how to move data back and forth more efficiently, how to secure it, and how to best integrate different generations of technology. But these widely different goals have create... » read more

The Great Machine Learning Race


Processor makers, tools vendors, and packaging houses are racing to position themselves for a role in machine learning, despite the fact that no one is quite sure which architecture is best for this technology or what ultimately will be successful. Rather than dampen investments, the uncertainty is fueling a frenzy. Money is pouring in from all sides. According to a new Moor Insights report,... » read more

Biz Talk: ASICs


eSilicon CEO [getperson id="11145" comment="Jack Harding"] talks about the future of scaling, advanced packaging, the next big things—automotive, deep learning and virtual reality—and the need for security. [youtube vid=leO8gABABqk]   Related Stories Executive Insight: Jack Harding (Aug 2016) eSilicon’s CEO looks at industry consolidation, competition, China’s impact, an... » read more

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