Author: Jason Anderson

Synthesizing Streaming Floating-Point Cores with LegUp HLS — Publication in DATE 2018

A paper describing the use of LegUp HLS to synthesize hardware cores for floating-point computations from C-language software will appear in the 2018 ACM/IEEE Design Automation and Test in Europe (DATE) conference, to be held at Dresden, Germany, in March 2018.  The floating-point cores are fully IEEE 754 compliant, yet through software changes alone, can be tailored […]

Using LegUp HLS to Synthesize a Deep CNN Inference Accelerator

A paper describing the synthesis of a deep convolutional neural network (CNN) inference accelerator from C software with LegUp HLS will appear at the 2017 IEEE International System-on-Chip Conference (SOCC), at Munich, Germany, in September 2017. The work showcases the use of LegUp’s unique Pthreads flow to convert parallel software threads into spatial hardware parallelism. […]