We develop specialized toolset suite for creating and debugging software for hybrid architecture for recurrent signal processing called HARSP IDE. One of the toolsets included is the specialized ...

we extract all possible data flows from data flow diagrams or annotated software architecture models. The extracted data flows are represented as Transpose Flow Graph (TFGs) that contain all relevant ...

Abstract: To solve the data-flow graph partitioning problem of deep learning in distributed architecture, this paper presents a vertex degree aware two-stage graph partitioning method. At first stage, ...

Seven years after its founding and the company’s early access program for beta machines based on its novel DPU manycore architecture is now open ... processor that tackles static scheduling of data ...

The Blaize GSP architecture and Blaize Picasso software development blend dynamic data flow methods and graph computing models with fully programmable proprietary SOCs. This allows Blaize computing ...

Chien will lead a team of University of Chicago computer ... large and sparse graphs, the priorities are flipped: computers conduct fewer operations, but must intelligently interpret and move much ...