公开(公告)号：US12135990B2

公开(公告)日：2024-11-05

申请号：US18091907

申请日：2022-12-30

Applicant: XILINX, INC.

Inventor： Chia-Jui Hsu ,  Mukund Sivaraman ,  Vinod Kathail

IPC: G06F9/48 ,  G06F8/41 ,  G06F9/54

Abstract: Modeling and compiling tensor processing applications using multi-layer adaptive data flow (ML-ADF) graphs, including folding the ML-ADF graph for temporal sharing of platform resources, computing schedules for runtime orchestration of kernel execution, memory reuse, tensor and sub-volume movement, and dataflow synchronization, and generating binary code for processors of the target computing platform and re-targetable controller code. The ML-ADF graph may represent: tensor processing of a layer of a neural network as data flow through the data nodes and distribution to compute tiles across memory hierarchy; data flow amongst layers of the neural network using connections amongst data nodes of the respective layers; and multi-dimension data partitioning and distribution using tiling parameters associated with ports of the data nodes.

公开(公告)号：US11281440B1

公开(公告)日：2022-03-22

申请号：US17065433

申请日：2020-10-07

Applicant: XILINX, INC.

Inventor： Chia-Jui Hsu ,  Shail Aditya Gupta ,  Samuel R. Bayliss ,  Philip B. James-Roxby ,  Ralph D. Wittig ,  Vinod Kathail

IPC: G06F8/41 ,  G06F11/34 ,  G06F9/54 ,  G06F16/901

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

公开(公告)号：US11687327B2

公开(公告)日：2023-06-27

申请号：US17695895

申请日：2022-03-16

Applicant: XILINX, INC.

Inventor： Chia-Jui Hsu ,  Shail Aditya Gupta ,  Samuel R. Bayliss ,  Philip B. James-Roxby ,  Ralph D. Wittig ,  Vinod Kathail

IPC: G06F8/41 ,  G06F16/901 ,  G06F9/54 ,  G06F11/34

CPC classification number: G06F8/433 ,  G06F9/54 ,  G06F11/3495 ,  G06F16/9024

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

公开(公告)号：US10802807B1

公开(公告)日：2020-10-13

申请号：US16420840

申请日：2019-05-23

Applicant: Xilinx, Inc.

Inventor： Chia-Jui Hsu ,  Shail Aditya Gupta ,  Samuel R. Bayliss ,  Philip B. James-Roxby ,  Ralph D. Wittig ,  Vinod Kathail

IPC: G06F8/41 ,  G06F16/901 ,  G06F9/54 ,  G06F11/34

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).