Xilinx, Inc.

U.S. Philips Corporation

Xilinix, Inc.

Sundararajarao Mohan

Ralph D Wittig

L James Hwang

Bernard J New

Vinod Kumar Kathail

Eric F Dellinger

Hua Sun

Sujoy Mitra

Richard A Carberry

Satish R Ganesan

Stephen M Trimberger

Jorge Ernesto Carrillo

Cameron D Patterson

Austin H Lesea

Gordon John Brebner

David W Bennett

Usha Prabhu

Yogesh Laxmikant Chobe

Ji Yang

Haris Javaid

Steven P Young

Tim Tuan

Alireza S Kaviani

Kamal Chaudhary

Hem C Neema

Kumar Deepak

Hamish T Fallside

Robert Anders Johnson

Goran Hk Bilski

Amit Kasat

Sabih Sabih

Jimmy Zhenming Wang

Christoffel Wijenberg

Tom Shui

Bernardus L M Van Bakel

Sathyanarayanan Thammanur

Embodiments herein describe a hardware accelerator for a blockchain node. The hardware accelerator is used to perform a validation operation to validate one or more transactions before those transactions are committed to a ledger of a blockchain. The blockchain may include multiple peer-nodes, each of which contains standard software running on a server or container. Instead of validating a block of transactions using software, the hardware accelerator can validate the transactions in a fraction of the time. The peer-node software then gathers the validation results from the hardware accelerator and combines the results with received block data to derive the block which is committed to the stored ledger.

Blockchain machine compute acceleration engine with a block verify and a block validate

Embodiments herein describe a hardware accelerator (e.g., a network acceleration engine) for a blockchain machine or node. The hardware accelerator parses packets containing separate components of a block of transactions to generate data to perform a validation process. To avoid the latency that comes with using software, the embodiments herein describe a protocol processor in the hardware accelerator that parses the packets and prepares the data so it can be consumed by downstream components in the accelerator without software intervention. These downstream components can then perform a validation operation to validate one or more transactions before those transactions are committed (i.e., added) to a ledger of a permissioned blockchain.

Blockchain machine network acceleration engine

An example integrated circuit (IC) package includes: a processing system and a programmable IC disposed on a substrate, the processing system coupled to the programmable IC through interconnect of the substrate; the processing system including components coupled to a ring interconnect, the components including a processor and an interface controller. The programmable IC includes: an interface endpoint coupled to the interface controller through the interconnect; and at least one peripheral coupled to the interface endpoint and configured for communication with the ring interconnect of the processing system through the interconnect endpoint and the interface controller.

Integration of a programmable device and a processing system in an integrated circuit package

Embodiments herein describe techniques for executing VMs on hosts that include an accelerator. The hosts can use the accelerators to perform specialized tasks such as floating-point arithmetic, encryption, image processing, etc. Moreover, VMs can be migrated between hosts. To do so, the state of the processor is saved on the current host thereby saving the state of the VM. For example, by saving the processor state, once the data corresponding to the VM is loaded into a destination host, the processor can be initialized to the saved state in order to resume the VM. In addition to saving the processor state, the embodiments herein save the state of the accelerator on a FPGA. That is, unlike previous systems where tasks executed by the accelerator are discarded when migrating the VM, the state of the accelerator can be saved and used to initialize an FPGA accelerator in the destination host.

Migrating virtual machines between compute systems by transmitting programmable logic accelerator state

An apparatus can include a read data mover circuit adapted to fetch a portion of data for each of a plurality of read channels. The read data mover circuit is adapted to output, to an accelerator circuit, a plurality of bits of data for each of the plurality of read channels concurrently as first streamed data. The apparatus can include a controller configured to control operation of the read data mover circuit. In another aspect, the apparatus can include a write data mover circuit adapted to receive second streamed data from the accelerator circuit and output the second streamed data in a different format. The controller may be configured to control operation of the write data mover circuit.

Striped direct memory access circuit

Application-specific tailoring and reuse of a platform for a target integrated circuit may include determining, using a processor, a plurality of unused interfaces of the platform and determining, using the processor, connectivity of a circuit block to be coupled to the platform within the target integrated circuit. The method may include coupling, using the processor, the circuit block to the platform using an interface that is compatible with the circuit block and selected from the plurality of unused interfaces of the platform.

Encapsulating metadata of a platform for application-specific tailoring and reuse of the platform in an integrated circuit

In an example implementation, a method is provided for compiling an HLL source file including function calls to one or more hardware accelerated functions. Function calls in the HLL source file to hardware accelerated functions are identified and grouped into a plurality of subsets for exclusive implementation in programmable logic resources. Sets of configuration data are generated for configuration of the programmable logic resources to implement hardware accelerated functions for the respective subsets of function calls. An interface manager is generated and the identified function calls are replaced with interface code configured to communicate with the interface manager. The interface manager manages configuration of the programmable logic resources to switch between the sets of configuration data to implement hardware accelerated functions for different ones of the subsets.

Compilation of system designs

Implementing a system-on-chip (SOC) design specified as a high level programming language (HLL) application may include querying, using a computer, a platform description to determine an available interface of a platform for a target integrated circuit and generating, using the computer, hardware for a function of the HLL application marked for hardware acceleration and hardware coupling the marked function with the available interface of the platform. Implementing the SOC design may also include modifying, using the computer, the HLL application with program code configured to access the generated hardware for the marked function and building, using the computer, the hardware and the software of the SOC design.

Automatic implementation of a customized system-on-chip

A multi-processor system with dynamic power optimization for an integrated circuit and methods thereof are described. An input rate control signal is generated responsive to at least one input data stream. An output rate control signal is generated responsive to an output of the plurality of processors. The input rate control signal and the output rate control signal are monitored. The at least one input data stream is partitioned in response to the input rate control signal. The partitioned data is distributed to at least a portion of the plurality of processors. The plurality of processors is operated in a plurality of modes responsive to the monitoring.

Multiprocessor system with performance control based on input and output data rates

A method and apparatus for adaptively tuning an integrated circuit are disclosed. For example, an integrated circuit (IC) comprises a monitored path comprising circuit elements operating on a clock signal, where a last circuit element of the circuit elements comprises a first flip flop. The IC also comprises a second flip flop operating on an early clock signal, where the early clock signal is phase shifted from the clock signal, and where the second flip flop is coupled to the monitored path prior to the last circuit element. The IC also comprises a transition detection module for detecting when an output from the first flip flop toggles, and an error prediction module to detect a potential error on the monitored path. The IC comprises a controller that is configured to scale a voltage or a frequency of the IC.

Method and apparatus for adaptively tuning an integrated circuit

In an example implementation, a method is provided for compiling an HLL source file. The HLL source file checked for function calls to a set of hardware-accelerated functions having hardware implementations specified in a hardware library. For each HLL function call to a hardware-accelerated function, a circuit design is retrieved from the hardware library. The circuit design specifies a hardware implementation of the hardware-accelerated function. HLL interface code configured to communicate with the hardware implementation of the hardware-accelerated function is also generated. The HLL function call to the hardware-accelerated function in the HLL source file is replaced with the generated interface code. The HLL source file is compiled to generate a program executable on a processor of a programmable IC. Configuration data is generated that implements the retrieved circuit designs on the programmable circuitry of the programmable IC.

Compilation of HLL code with hardware accelerated functions

Hardware and software co-synthesis performance estimation includes, for a design specified in a high level programming language and having a processor executable partition and a partition selected for hardware acceleration, estimating hardware latency for a hardware accelerator implementation of the selected partition, scheduling the selected partition using the hardware latency generating hardware partition latency information, and compiling an instrumented version of the design using a processor. The instrumented and compiled version of the design is executed generating software latency information. A design performance for the design is determined through combining the hardware partition latency information with the software latency information.

Hardware and software cosynthesis performance estimation

A method is provided for synthesizing an HLL program. For one or more variables to observe and/or control in a function of the HLL program, a first code segment is added to the function in the HLL program. For each of the one or more variables a respective second code segment is also added to the HLL program. In response to encountering the first code segment during synthesis of the HLL program, a memory is instantiated in a synthesized design. In response to encountering the second code segment during synthesis of the HLL program, a respective interface circuit is instantiated in the synthesized design. Each interface circuit is configured to replicate a state of the corresponding variable in the memory during operation of the synthesized design. A table is generated that maps names of the one or more variables to respective memory addresses in the memory.

Software debugging of synthesized hardware

A method of automatically developing a data transfer network includes determining, using a processor, a plurality of data transfers of a function of a circuit design marked for hardware acceleration within a target integrated circuit. The circuit design is specified in a high level programming language, and at least one other function of the circuit design remains executable by a microprocessor of the target integrated circuit. Each of the plurality of data transfers is characterized. Each of the plurality of data transfers is correlated with resources of the target integrated circuit. A programmatic description of a data transfer network is generated for the circuit design. The data transfer network connects the hardware accelerator and the microprocessor according to the characterizing and the correlating.

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Sunnyvale, CA, United States of America

Sundararajarao Mohan