Abstract: An integrated circuit device may include a first network on chip (NOC) circuit configured to receive a set of data and transfer the set of data to a first node of the first NOC circuitry. The first node is configured to transfer the set of data to a second NOC circuit of an additional integrated circuit device separate from the integrated circuit device.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: An integrated circuit device may include a first network on chip (NOC) circuit configured to receive a set of data and transfer the set of data to a first node of the first NOC circuitry. The first node is configured to transfer the set of data to a second NOC circuit of an additional integrated circuit device separate from the integrated circuit device.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: A central processing unit (CPU) may be directly coupled to an accelerator dual in-line memory module (DIMM) card that is plugged into a DIMM slot. The CPU may include a master memory controller that sends requests or offloads tasks to the accelerator DIMM card via a low-latency double data rate (DDR) interface. The acceleration DIMM card may include a slave memory controller for translating the received requests, a decoder for decoding the translated requests, control circuitry for orchestrating the data flow within the DIMM card, hardware acceleration resources that can be dynamically programmed to support a wide variety of custom functions, and input-output components for interfacing with various types of non-volatile and/or volatile memory and for connecting with other types of storage and processing devices.

Abstract: Techniques described herein may relate to providing a programmable interconnect network (e.g., a programmable network-on-chip (NOC)). A method may include determining a transmission parameter, bonding one or more channels of an interconnect network based at least in part on the transmission parameter, and power-gating any unused channels after the bonding.

Abstract: A central processing unit (CPU) may be directly coupled to an accelerator dual in-line memory module (DIMM) card that is plugged into a DIMM slot. The CPU may include a master memory controller that sends requests or offloads tasks to the accelerator DIMM card via a low-latency double data rate (DDR) interface. The acceleration DIMM card may include a slave memory controller for translating the received requests, a decoder for decoding the translated requests, control circuitry for orchestrating the data flow within the DIMM card, hardware acceleration resources that can be dynamically programmed to support a wide variety of custom functions, and input-output components for interfacing with various types of non-volatile and/or volatile memory and for connecting with other types of storage and processing devices.

Abstract: An integrated circuit device may include a first network on chip (NOC) circuit configured to receive a set of data and transfer the set of data to a first node of the first NOC circuitry. The first node is configured to transfer the set of data to a second NOC circuit of an additional integrated circuit device separate from the integrated circuit device.