公开(公告)号：US10402527B2

公开(公告)日：2019-09-03

申请号：US15423289

申请日：2017-02-02

Applicant: STMICROELECTRONICS S.R.L. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Thomas Boesch ,  Giuseppe Desoli

IPC: H04J14/00 ,  G06F17/50 ,  G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  G06F9/445 ,  G06F13/40 ,  G06F15/78

Abstract: Embodiments are directed towards a reconfigurable stream switch formed in an integrated circuit. The stream switch includes a plurality of output ports, a plurality of input ports, and a plurality of selection circuits. The output ports each have an output port architectural composition, and each is arranged to unidirectionally pass output data and output control information. The input ports each have an input port architectural composition, and each is arranged to unidirectionally receive first input data and first input control information. Each one of the selection circuits is coupled to an associated one of the output ports. Each selection circuit is further coupled to all of the input ports such that each selection circuit is arranged to reconfigurably couple its associated output port to no more than one input port at any given time.

公开(公告)号：US12106201B2

公开(公告)日：2024-10-01

申请号：US17039653

申请日：2020-09-30

Applicant: STMICROELECTRONICS S.r.l.

Inventor： Carmine Cappetta ,  Thomas Boesch ,  Giuseppe Desoli

IPC: G06N3/04 ,  G06F9/38 ,  G06F13/16 ,  G06F13/40 ,  G06N3/063 ,  G06T7/11

CPC classification number: G06N3/04 ,  G06F9/3806 ,  G06F13/1657 ,  G06F13/1673 ,  G06F13/4022 ,  G06N3/063 ,  G06T7/11 ,  G06T2207/20084

Abstract: A convolutional accelerator framework (CAF) has a plurality of processing circuits including one or more convolution accelerators, a reconfigurable hardware buffer configurable to store data of a variable number of input data channels, and a stream switch coupled to the plurality of processing circuits. The reconfigurable hardware buffer has a memory and control circuitry. A number of the variable number of input data channels is associated with an execution epoch. The stream switch streams data of the variable number of input data channels between processing circuits of the plurality of processing circuits and the reconfigurable hardware buffer during processing of the execution epoch. The control circuitry of the reconfigurable hardware buffer configures the memory to store data of the variable number of input data channels, the configuring including allocating a portion of the memory to each of the variable number of input data channels.

公开(公告)号：US11586907B2

公开(公告)日：2023-02-21

申请号：US16280960

申请日：2019-02-20

Applicant: STMICROELECTRONICS S.R.L. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Surinder Pal Singh ,  Giuseppe Desoli ,  Thomas Boesch

IPC: G06F9/02 ,  G06N3/08 ,  G06N20/00 ,  G06F17/11 ,  G06N3/04 ,  G06N3/063 ,  G06F9/30

Abstract: Embodiments of a device include an integrated circuit, a reconfigurable stream switch formed in the integrated circuit, and an arithmetic unit coupled to the reconfigurable stream switch. The arithmetic unit has a plurality of inputs and at least one output, and the arithmetic unit is solely dedicated to performance of a plurality of parallel operations. Each one of the plurality of parallel operations carries out a portion of the formula: output=AX+BY+C.

公开(公告)号：US11474788B2

公开(公告)日：2022-10-18

申请号：US16890870

申请日：2020-06-02

Applicant: STMICROELECTRONICS S.R.L. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Nitin Chawla ,  Tanmoy Roy ,  Anuj Grover ,  Giuseppe Desoli

IPC: G06F7/57 ,  G06F3/06 ,  G06N3/063

Abstract: A memory array arranged in multiple columns and rows. Computation circuits that each calculate a computation value from cell values in a corresponding column. A column multiplexer cycles through multiple data lines that each corresponds to a computation circuit. Cluster cycle management circuitry determines a number of multiplexer cycles based on a number of columns storing data of a compute cluster. A sensing circuit obtains the computation values from the computation circuits via the column multiplexer as the column multiplexer cycles through the data lines. The sensing circuit combines the obtained computation values over the determined number of multiplexer cycles. A first clock may initiate the multiplexer to cycle through its data lines for the determined number of multiplexer cycles, and a second clock may initiate each individual cycle. The multiplexer or additional circuitry may be utilized to modify the order in which data is written to the columns.

公开(公告)号：US11442700B2

公开(公告)日：2022-09-13

申请号：US16833340

申请日：2020-03-27

Applicant: STMICROELECTRONICS S.R.L. ,  STMicroelectronics International N.V.

Inventor： Michele Rossi ,  Giuseppe Desoli ,  Thomas Boesch ,  Carmine Cappetta

IPC: G06F7/72 ,  H03M7/18

Abstract: A system includes an addressable memory array, one or more processing cores, and an accelerator framework coupled to the addressable memory. The accelerator framework includes a Multiply ACcumulate (MAC) hardware accelerator cluster. The MAC hardware accelerator cluster has a binary-to-residual converter, which, in operation, converts binary inputs to a residual number system. Converting a binary input to the residual number system includes a reduction modulo 2m and a reduction modulo 2m−1, where m is a positive integer. A plurality of MAC hardware accelerators perform modulo 2m multiply-and-accumulate operations and modulo 2m−1 multiply-and-accumulate operations using the converted binary input. A residual-to-binary converter generates a binary output based on the output of the MAC hardware accelerators.

公开(公告)号：US11308406B2

公开(公告)日：2022-04-19

申请号：US15877138

申请日：2018-01-22

Applicant: STMICROELECTRONICS S.r.l.

Inventor： Valentina Arrigoni ,  Giuseppe Desoli ,  Beatrice Rossi ,  Pasqualina Fragneto

IPC: G06N5/04 ,  G06F7/72 ,  G06N3/04 ,  G06F17/16 ,  G06N7/00 ,  G06N7/02

Abstract: A method of operating neural networks such as convolutional neural networks including, e.g., an input layer, an output layer and at least one intermediate layer between the input layer and the output layer, with the network layers including operating circuits performing arithmetic operations on input data to provide output data. The method includes: selecting a set of operating circuits in the network layers, performing arithmetic operations in operating circuits in the selected set of operating circuits by performing Residue Number System or RNS operations on RNS-converted input data by obtaining RNS output data in the Residue Number System, backward converting from the Residue Number System the RNS output data resulting from the RNS operations.

公开(公告)号：US11227086B2

公开(公告)日：2022-01-18

申请号：US15931445

申请日：2020-05-13

Applicant: STMICROELECTRONICS S.R.L. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Thomas Boesch ,  Giuseppe Desoli

IPC: G02B6/35 ,  G06F30/327 ,  G06N20/10 ,  G06N3/04 ,  G06N3/08 ,  G06F30/34 ,  G06N20/00 ,  G06N7/00 ,  G06F115/08 ,  G06N3/063 ,  G06F9/445 ,  G06F13/40 ,  G06F15/78

Abstract: A system on a chip (SoC) includes a plurality of processing cores and a stream switch coupled to two or more of the plurality of processing cores. The stream switch includes a plurality of N multibit input ports, wherein N is a first integer, a plurality of M multibit output ports, wherein M is a second integer, and a plurality of M multibit stream links dedicated to respective output ports of the plurality of M multibit output ports. The M multibit stream links are reconfigurably coupleable at run time to a selectable number of the N multibit input ports, wherein the selectable number is an integer between zero and N.

公开(公告)号：US12190243B2

公开(公告)日：2025-01-07

申请号：US18156704

申请日：2023-01-19

Applicant: STMICROELECTRONICS S.r.l. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Surinder Pal Singh ,  Giuseppe Desoli ,  Thomas Boesch

IPC: G06F17/11 ,  G06F9/30 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00

Abstract: An integrated circuit includes a reconfigurable stream switch and an arithmetic circuit. The stream switch, in operation, streams data. The arithmetic circuit has a plurality of inputs coupled to the reconfigurable stream switch. In operation, the arithmetic circuit generates an output according to AX+BY+C, where A, B and C are vector or scalar constants, and X and Y are data streams streamed to the arithmetic circuit through the reconfigurable stream switch.

公开(公告)号：US12118451B2

公开(公告)日：2024-10-15

申请号：US15423272

申请日：2017-02-02

Applicant: STMICROELECTRONICS S.R.L. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Giuseppe Desoli ,  Thomas Boesch ,  Nitin Chawla ,  Surinder Pal Singh ,  Elio Guidetti ,  Fabio Giuseppe De Ambroggi ,  Tommaso Majo ,  Paolo Sergio Zambotti

IPC: G06N3/04 ,  G06F30/327 ,  G06F30/34 ,  G06F30/347 ,  G06N3/044 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/047 ,  G06N3/084 ,  G06N20/00 ,  G06N20/10 ,  G06F9/445 ,  G06F13/40 ,  G06F15/78 ,  G06F115/02 ,  G06F115/08 ,  G06N3/063 ,  G06N3/08 ,  G06N7/01

CPC classification number: G06N3/0464 ,  G06F30/327 ,  G06F30/34 ,  G06F30/347 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N20/00 ,  G06N20/10 ,  G06F9/44505 ,  G06F13/4022 ,  G06F15/7817 ,  G06F2115/02 ,  G06F2115/08 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06N7/01

Abstract: Embodiments are directed towards a system on chip (SoC) that implements a deep convolutional network heterogeneous architecture. The SoC includes a system bus, a plurality of addressable memory arrays coupled to the system bus, at least one applications processor core coupled to the system bus, and a configurable accelerator framework coupled to the system bus. The configurable accelerator framework is an image and deep convolutional neural network (DCNN) co-processing system. The SoC also includes a plurality of digital signal processors (DSPs) coupled to the system bus, wherein the plurality of DSPs coordinate functionality with the configurable accelerator framework to execute the DCNN.

公开(公告)号：US11836608B2

公开(公告)日：2023-12-05

申请号：US18056937

申请日：2022-11-18

Applicant: STMICROELECTRONICS S.r.l. ,  STMicroelectronics International N.V.

Inventor： Thomas Boesch ,  Giuseppe Desoli ,  Surinder Pal Singh ,  Carmine Cappetta

IPC: G06N3/063 ,  G06F9/50 ,  H03M7/30

CPC classification number: G06N3/063 ,  G06F9/5027 ,  H03M7/3082 ,  H03M7/6005

Abstract: Techniques and systems are provided for implementing a convolutional neural network. One or more convolution accelerators are provided that each include a feature line buffer memory, a kernel buffer memory, and a plurality of multiply-accumulate (MAC) circuits arranged to multiply and accumulate data. In a first operational mode the convolutional accelerator stores feature data in the feature line buffer memory and stores kernel data in the kernel data buffer memory. In a second mode of operation, the convolutional accelerator stores kernel decompression tables in the feature line buffer memory.