GPU

The computational and algorithmic demands made by computer vision systems highlight HLS' value for AI system development.

The second part of this feature looks at how Wave Computing's objectives with its dataflow processing unit for AI mapped to the use of emulation in its development.

DVCon China general chair Andy Liu discusses Accellera’s new addition to its design and verification conference series (简体中文).

DVCon中国大会主席刘红亮讨论了Accellera新增的DVCon中国ASIC设计和验证会议的看点。

In both data centers and automobiles deep learning is taking hold. But it is a technique that challenges conventional microprocessors, leading system designers to look at alternative architectures for acceleration.

AMD's Radeon R9 family is the result of eight years developing 3D-IC and interposer technology. What lessons did the company learn?

What ARM learnt when it ran a Mali GPU-based test chip through a Synopsys tool flow onto a TSMC 20nm process

OpenCL aims to open up the performance of graphics processors to other applications. It is also one more way in which compilation is being moved to runtime to make it easier to move code dynamically across heterogeneous platforms.