Abstract: A computing system is provided, including a processor configured to receive a directed acyclic graph (DAG) template specifying a data pipeline of a plurality of processing stages. For each processing stage, the processor may be further configured to select a respective processing device of a plurality of communicatively linked processing devices. The processor may be further configured to determine a routing sequence between the plurality of processing devices according to the DAG template. The processor may be further configured to transmit a plurality of input packets encoding the plurality of processing stages to the respective processing devices selected for the processing stages as specified by the routing sequence. In response to transmitting the plurality of input packets, the processor may be further configured to receive, from a processing device of the plurality of processing devices, one or more output packets encoding a processing result of the data pipeline.

Abstract: A computing system is provided, including a processor configured to receive a directed acyclic graph (DAG) template specifying a data pipeline of a plurality of processing stages. For each processing stage, the processor may be further configured to select a respective processing device of a plurality of communicatively linked processing devices. The processor may be further configured to determine a routing sequence between the plurality of processing devices according to the DAG template. The processor may be further configured to transmit a plurality of input packets encoding the plurality of processing stages to the respective processing devices selected for the processing stages as specified by the routing sequence. In response to transmitting the plurality of input packets, the processor may be further configured to receive, from a processing device of the plurality of processing devices, one or more output packets encoding a processing result of the data pipeline.

Abstract: Aspects of the embodiments are directed to systems, devices, and methods for accessing storage-as-memory. Embodiments include a microprocessor including a microprocessor system agent and a field programmable gate array (FPGA). The FPGA including an FPGA system agent to process memory access requests received from the microprocessor system agent across a communications link; a memory controller communicatively coupled to the system agent; and a high speed serial interface to link the system agent with a storage system. Embodiments can also include a storage device connected to the FPGA by the high speed serial interface.

Abstract: Methods and apparatus to provide user-level access authorization for cloud-based filed-programmable gate arrays are disclosed. An example apparatus includes a field-programmable gate array (FPGA) including a first memory and a second memory different from the first memory. The first memory stores a bitstream. The second memory stores a first user tag associated with the bitstream. The example apparatus further includes a kernel having an FPGA driver operatively coupled to the FPGA. The FPGA driver is to receive a command associated with accessing the FPGA from a user-executed application. The FPGA driver is further to identify a second user tag associated with the command. The FPGA driver is further to determine whether the command is to be accepted based on the second user tag.

Abstract: Methods and apparatus to provide user-level access authorization for cloud-based filed-programmable gate arrays are disclosed. An example apparatus includes a field-programmable gate array (FPGA) including a first memory and a second memory different from the first memory. The first memory stores a bitstream. The second memory stores a first user tag associated with the bitstream. The example apparatus further includes a kernel having an FPGA driver operatively coupled to the FPGA. The FPGA driver is to receive a command associated with accessing the FPGA from a user-executed application. The FPGA driver is further to identify a second user tag associated with the command. The FPGA driver is further to determine whether the command is to be accepted based on the second user tag.

Abstract: Aspects of the embodiments are directed to systems, devices, and methods for accessing storage-as-memory. Embodiments include a microprocessor including a microprocessor system agent and a field programmable gate array (FPGA). The FPGA including an FPGA system agent to process memory access requests received from the microprocessor system agent across a communications link; a memory controller communicatively coupled to the system agent; and a high speed serial interface to link the system agent with a storage system. Embodiments can also include a storage device connected to the FPGA by the high speed serial interface.

Abstract: Hardware accelerator architectures for clustering are described. A hardware accelerator includes sparse tiles and very/hyper sparse tiles. The sparse tile(s) execute operations for a clustering task involving a matrix. Each sparse tile includes a first plurality of processing units to operate upon a first plurality of blocks of the matrix that have been streamed to one or more random access memories of the sparse tiles over a high bandwidth interface from a first memory unit. Each of the very/hyper sparse tiles are to execute operations for the clustering task involving the matrix. Each of the very/hyper sparse tiles includes a second plurality of processing units to operate upon a second plurality of blocks of the matrix that have been randomly accessed over a low-latency interface from a second memory unit.