Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

Systems and method provide for consistent throughput of one or more compression engines. Data received from an input stream is stored in a buffer. Data is read from the buffer and distributed to the compression engines. Latency of the compression engines is monitored. If latency exceeds a threshold, data is read from the buffer and written to an output stream simultaneously with reading of data and inputting it to the compression engines. Data from the input stream may be evaluated for likely compressibility and non-compressible data may be written to the output stream bypassing both the buffer and the compression engines.

Technologies for offloading acceleration task scheduling operations to accelerator sleds include a compute device to receive a request from a compute sled to accelerate the execution of a job, which includes a set of tasks. The compute device is also to analyze the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks. Additionally the compute device is to send an availability request, including the metadata, to one or more micro-orchestrators of one or more accelerator sleds communicatively coupled to the compute device. The compute device is further to receive availability data from the one or more micro-orchestrators, indicative of which of the tasks the micro-orchestrator has accepted for acceleration on the associated accelerator sled. Additionally, the compute device is to assign the tasks to the one or more micro-orchestrators as a function of the availability data.

The storage device includes a first memory, a process device that stores data in the first memory and reads the data from the first memory, and an accelerator that includes a second memory different from the first memory. The accelerator stores compressed data stored in one or more storage drives storing data, in the second memory, decompresses the compressed data stored in the second memory to generate plaintext data, extracts data designated in the process device from the plaintext data, and transmits the extracted designated data to the first memory.

The present disclosure provides example operation accelerators and compression methods. One example operation accelerator includes a storage configured to store first input data, weight data, and a control instruction, and an operation circuit connected to the storage and configured to perform matrix multiplication on the first input data and the weight data, to obtain a computation result. The operation accelerator further includes a compression module configured to compress the computation result to obtain compressed data, as well as a controller connected to the storage and configured to obtain the control instruction from the storage, and when the control instruction includes instructions to compress the computation result, control the compression module to compress the computation result to obtain the compressed data. The operation accelerator further includes a direct memory access controller connected to the compression module and configured to store the compressed data in a memory outside the operation accelerator.

A method for computational storage may include storing, at a storage device, two or more portions of data, wherein a first one of the two or more portions of data comprises a first fragment of a record and a second one of the two or more portions of data comprises a second fragment of the record, and performing, by the storage device, an operation on the first and second fragments of the record. The method may further include performing, by the storage node, a second operation on first and second fragments of a second record. The operation may include a data selection operation, and the method may further include sending a result of the data selection operation to a server. The method may further include sending a result of a first data selection operation to a server.