Dataflow Hardware Design for Big Data Acceleration Using Typed Interfaces

Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...

A Hardware/Software Co-designed Partitioning Algorithm of Sparse Matrix Vector Multiplication into Multiple Independent Streams for Parallel Processing

The trend of computing faster and more efficiently has been a driver for the computing industry since its beginning. However, it is increasingly difficult to continue this trend because current CMOS technology cannot be down-scaled anymore due to physical restrictions. Consequently, to obtain the next major performance improvement, the focus is...