Abstract: Examples herein describe techniques for reducing the amount of memory used during weight sparsity. When decompressing the weights, the uncompressed weight data typically has many zero values. By knowing the location of these zero values (e.g., their indices in a weight matrix), the processor core can prune some of the activations (e.g., logically reduce the size of the activation matrix) which improves the efficiency of the processor core. In embodiments herein, the processor core includes logic for identifying the indices of the non-zero value after decompressing the compressed weights. These indices can then be used to prune the activations to improve the efficiency of the processor core.

Abstract: A device includes a data processing engine (DPE) array having a plurality of data processing engines (DPEs) and a subsystem coupled to the DPE array. Each DPE of the plurality of DPEs is configurable to share data with one or more other DPEs of the plurality of DPEs using one or more of a plurality of data sharing techniques. The data sharing techniques include a core of a selected DPE accessing a memory module of an adjacent DPE via a memory interface of the selected DPE connected to a memory module of the adjacent DPE and the selected DPE accessing the memory module of a non-adjacent DPE using a DMA circuit and a stream switch of the selected DPE. The subsystem may be in a different die than the DPE array.

Abstract: Examples herein describe techniques for reducing the amount of memory used during weight sparsity. When decompressing the weights, the uncompressed weight data typically has many zero values. By knowing the location of these zero values (e.g., their indices in a weight matrix), the processor core can prune some of the activations (e.g., logically reduce the size of the activation matrix) which improves the efficiency of the processor core. In embodiments herein, the processor core includes logic for identifying the indices of the non-zero value after decompressing the compressed weights. These indices can then be used to prune the activations to improve the efficiency of the processor core.

Abstract: An apparatus includes a data processing array having a plurality of array tiles. Each array tile can include a random-access memory (RAM) having a local memory interface accessible by circuitry within the array tile and an adjacent memory interface accessible by circuitry disposed within an adjacent array tile. Each adjacent memory interface of each array tile can include isolation logic that is programmable to allow the circuitry disposed within the adjacent array tile to access the RAM or prevent the circuitry disposed within the adjacent array tile from accessing the RAM. The data processing array can be subdivided into a plurality of partitions wherein the isolation logic of the adjacent memory interfaces is programmed to prevent array tiles from accessing RAMs across a boundary between the plurality of partitions.

Abstract: An apparatus includes a data processing array having a plurality of array tiles. The plurality of array tiles include a plurality of compute tiles. The compute tiles include a core coupled to a random-access memory (RAM) in a same compute tile and to a RAM of at least one other compute tile. The data processing array is subdivided into a plurality of partitions. Each partition includes a plurality of array tiles including at least one of the plurality of compute tiles. The apparatus includes a plurality of clock gate circuits being programmable to selectively gate a clock signal provided to a respective one of the plurality of partitions.

Abstract: This application generally relates to defining, displaying and interacting with tags in a 3D model. In an embodiment, a method includes generating, by a system including a processor, a three-dimensional model of an environment based on sets of aligned three-dimensional data captured from the environment, and associating tags with defined locations of the three-dimensional model, wherein the tags are respectively represented by tag icons that are spatially aligned with the defined locations of the three-dimensional model as included in different representations of the three-dimensional model rendered via an interface of a device, wherein the different representations correspond to different perspectives of the three-dimensional model, and wherein selection of the tag icons causes the tags respectively associated therewith to be rendered at the device.

Abstract: An integrated circuit (IC) can include a data processing array including a plurality of compute tiles arranged in a grid. The IC can include an array interface coupled to the data processing array. The array interface includes a plurality of interface tiles. Each interface tile includes a plurality of direct memory access circuits. The IC can include a network-on-chip (NoC) coupled to the array interface. Each direct memory access circuit is communicatively linked to the NoC via an independent communication channel.

Abstract: This application generally relates to defining, displaying and interacting with tags in a 3D model. In an embodiment, a method includes generating, by a system including a processor, a three-dimensional model of an environment based on sets of aligned three-dimensional data captured from the environment, and associating tags with defined locations of the three-dimensional model, wherein the tags are respectively represented by tag icons that are spatially aligned with the defined locations of the three-dimensional model as included in different representations of the three-dimensional model rendered via an interface of a device, wherein the different representations correspond to different perspectives of the three-dimensional model, and wherein selection of the tag icons causes the tags respectively associated therewith to be rendered at the device.

Abstract: Using multiple overlays with a data processing array includes loading an application in a data processing array. The data processing array includes a plurality of compute tiles each having a processor. The application specifies kernels executable by the processors and implements stream channels that convey data to the plurality of compute tiles. During runtime of the application, a plurality of overlays are sequentially implemented in the data processing array. Each overlay implements a different mode of data movement in the data processing array via the stream channels. For each overlay implemented, a workload is performed by moving data to the plurality of compute tiles based on the respective mode of data movement.

Abstract: An apparatus includes a data processing array having a plurality of array tiles. The plurality of array tiles include a plurality of compute tiles. The compute tiles include a core coupled to a random-access memory (RAM) in a same compute tile and to a RAM of at least one other compute tile. The data processing array is subdivided into a plurality of partitions. Each partition includes a plurality of array tiles including at least one of the plurality of compute tiles. The apparatus includes a plurality of clock gate circuits being programmable to selectively gate a clock signal provided to a respective one of the plurality of partitions.

Abstract: An apparatus includes a data processing array having a plurality of array tiles. Each array tile can include a random-access memory (RAM) having a local memory interface accessible by circuitry within the array tile and an adjacent memory interface accessible by circuitry disposed within an adjacent array tile. Each adjacent memory interface of each array tile can include isolation logic that is programmable to allow the circuitry disposed within the adjacent array tile to access the RAM or prevent the circuitry disposed within the adjacent array tile from accessing the RAM. The data processing array can be subdivided into a plurality of partitions wherein the isolation logic of the adjacent memory interfaces is programmed to prevent array tiles from accessing RAMs across a boundary between the plurality of partitions.

Abstract: An integrated circuit (IC) can include a data processing array including a plurality of compute tiles arranged in a grid. The IC can include an array interface coupled to the data processing array. The array interface includes a plurality of interface tiles. Each interface tile includes a plurality of direct memory access circuits. The IC can include a network-on-chip (NoC) coupled to the array interface. Each direct memory access circuit is communicatively linked to the NoC via an independent communication channel.

Abstract: An apparatus includes a data processing array having a plurality of array tiles. Each array tile can include a random-access memory (RAM) having a local memory interface accessible by circuitry within the array tile and an adjacent memory interface accessible by circuitry disposed within an adjacent array tile. Each adjacent memory interface of each array tile can include isolation logic that is programmable to allow the circuitry disposed within the adjacent array tile to access the RAM or prevent the circuitry disposed within the adjacent array tile from accessing the RAM. The data processing array can be subdivided into a plurality of partitions wherein the isolation logic of the adjacent memory interfaces is programmed to prevent array tiles from accessing RAMs across a boundary between the plurality of partitions.

Abstract: Examples herein describe techniques for communicating between data processing engines in an array of data processing engines. In one embodiment, the array is a 2D array where each of the DPEs includes one or more cores. In addition to the cores, the data processing engines can include streaming interconnects which transmit streaming data using two different modes: circuit switching and packet switching. Circuit switching establishes reserved point-to-point communication paths between endpoints in the interconnect which routes data in a deterministic manner. Packet switching, in contrast, transmits streaming data that includes headers for routing data within the interconnect in a non-deterministic manner. In one embodiment, the streaming interconnects can have one or more ports configured to perform circuit switching and one or more ports configured to perform packet switching.

Abstract: This application generally relates to defining, displaying and interacting with tags in a 3D model. In an embodiment, a method includes generating, by a system including a processor, a three-dimensional model of an environment based on sets of aligned three-dimensional data captured from the environment, and associating tags with defined locations of the three-dimensional model, wherein the tags are respectively represented by tag icons that are spatially aligned with the defined locations of the three-dimensional model as included in different representations of the three-dimensional model rendered via an interface of a device, wherein the different representations correspond to different perspectives of the three-dimensional model, and wherein selection of the tag icons causes the tags respectively associated therewith to be rendered at the device.

Abstract: Examples herein describe techniques for reducing the amount of memory used during weight sparsity. When decompressing the weights, the uncompressed weight data typically has many zero values. By knowing the location of these zero values (e.g., their indices in a weight matrix), the processor core can prune some of the activations (e.g., logically reduce the size of the activation matrix) which improves the efficiency of the processor core. In embodiments herein, the processor core includes logic for identifying the indices of the non-zero value after decompressing the compressed weights. These indices can then be used to prune the activations to improve the efficiency of the processor core.

Abstract: Using multiple overlays with a data processing array includes loading an application in a data processing array. The data processing array includes a plurality of compute tiles each having a processor. The application specifies kernels executable by the processors and implements stream channels that convey data to the plurality of compute tiles. During runtime of the application, a plurality of overlays are sequentially implemented in the data processing array. Each overlay implements a different mode of data movement in the data processing array via the stream channels. For each overlay implemented, a workload is performed by moving data to the plurality of compute tiles based on the respective mode of data movement.

Abstract: An integrated circuit having a data processing engine (DPE) array can include a plurality of memory tiles. A first memory tile can include a first direct memory access (DMA) engine, a first random-access memory (RAM) connected to the first DMA engine, and a first stream switch coupled to the first DMA engine. The first DMA engine may be coupled to a second RAM disposed in a second memory tile. The first stream switch may be coupled to a second stream switch disposed in the second memory tile.

Abstract: An integrated circuit includes a plurality of data processing engines (DPEs) DPEs. Each DPE may include a core configured to perform computations. A first DPE of the plurality of DPEs includes a first core coupled to an input cascade connection of the first core. The input cascade connection is directly coupled to a plurality of source cores of the plurality of DPEs. The input cascade connection includes a plurality of inputs, wherein each of the plurality of inputs is connected to a cascade output of a different one of the plurality of source cores. The input cascade connection is programmable to enable a selected one of the plurality of inputs.

Abstract: This application generally relates to defining, displaying and interacting with tags in a 3D model. In an embodiment, a method includes generating, by a system including a processor, a three-dimensional model of an environment based on sets of aligned three-dimensional data captured from the environment, and associating tags with defined locations of the three-dimensional model, wherein the tags are respectively represented by tag icons that are spatially aligned with the defined locations of the three-dimensional model as included in different representations of the three-dimensional model rendered via an interface of a device, wherein the different representations correspond to different perspectives of the three-dimensional model, and wherein selection of the tag icons causes the tags respectively associated therewith to be rendered at the device.