Xilinx, Inc.

Christopher J Case

Khang Kim Dao

Kyle Corbett

Adam P Donlin

Nabeel Shirazi

Ashish Sirasao

Elliott Delaye

Sonal Santan

Jindrich Zejda

Hem C Neema

Aaron Ng

Shay Ping Seng

Jeffrey H Seltzer

Amit Kasat

Yongjun Wu

Yi Wang

Srinivas Beeravolu

Biping Wu

Sarabjeet Singh

Khang K Dao

Using scalable scribe regions for implementing a user circuit design includes generating a scribe region having a plurality of contours for a static top design of a circuit design for an integrated circuit. The static top design is configured to integrate with a user circuit design in the integrated circuit. Each contour defines a different size of the scribe region having a boundary that extends outward in at least one direction from a boundary of a floorplan area of the static top design on the IC. The scribe region can be translated into design constraints defining the plurality of contours of the scribe region and restrict placement of components of the user circuit design within the scribe region as sized according to a selected contour. The static top design and the plurality of design constraints can be stored in a memory for use in implementing the user circuit design.

Scalable scribe regions for implementing user circuit designs in an integrated circuit using dynamic function exchange

Embodiments herein describe techniques for interfacing a neural network application with a neural network accelerator that operate on two heterogeneous computing systems. For example, the neural network application may execute on a central processing unit (CPU) in a computing system while the neural network accelerator executes on a FPGA. As a result, when moving a software-hardware boundary between the two heterogeneous systems, changes may be made to both the neural network application (using software code) and to the accelerator (using RTL). The embodiments herein describe a software defined approach where shared interface code is used to express both sides of the interface between the two heterogeneous systems in a single abstraction (e.g., a software class).

Re-targetable interface for data exchange between heterogeneous systems and accelerator abstraction into software instructions

A system may include a host processor coupled to a communication bus, a first hardware accelerator communicatively linked to the host processor through the communication bus, and a second hardware accelerator communicatively linked to the host processor through the communication bus. The first hardware accelerator and the second hardware accelerator are directly coupled through an accelerator link independent of the communication bus. The host processor is configured to initiate a data transfer between the first hardware accelerator and the second hardware accelerator directly through the accelerator link.

Unified address space for multiple hardware accelerators using dedicated low latency links

Methods for generating a circuit design are disclosed. A plurality of cells is instantiated in the circuit design in response to user input. The set of interface parameters of each cell is arranged into a hierarchy of interface levels as indicated by an interface model corresponding to the cell. For each of the interface levels, values of the sets of interface parameters of cells included in the interface level are respectively propagated to other cells directly connected to the cell. In response to propagating a value of an interface parameter from another cell of the plurality of cells to the cell and the cell having a value of the corresponding interface parameter that is different from the propagated value, a value for the corresponding interface parameter of the cell is determined using a respective propagation function associated with the corresponding interface level.

System level circuit design

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San Jose, CA, United States of America

Christopher J Case