Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Examples described herein relate to offload circuitry comprising one or more compute engines that are configurable to perform a workload offloaded from a process executed by a processor based on a descriptor particular to the workload. In some examples, the offload circuitry is configurable to perform the workload, among multiple different workloads. In some examples, the multiple different workloads include one or more of: data transformation (DT) for data format conversion, Locality Sensitive Hashing (LSH) for neural network (NN), similarity search, sparse general matrix-matrix multiplication (SpGEMM) acceleration of hash based sparse matrix multiplication, data encode, data decode, or embedding lookup.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Examples relate to a non-transitory, computer-readable medium, method, and computer system for prefetching data during executing of a computer program. The non-transitory, computer-readable medium comprises machine-readable instructions that, when the program code is executed on a processor, causes the processor to pre-fetch to a processor cache, using data transfer offloading circuitry of the processor, data being accessed by an application program from a main memory of the computer system, and to execute the computer program using the pre-fetched data that is stored in the processor cache.

Abstract: In one embodiment, a data mover accelerator is to receive, from a first agent having a first address space and a first process address space identifier (PASID) to identify the first address space, a first job descriptor comprising a second PASID selector to specify a second PASID to identify a second address space. In response to the first job descriptor, the data mover accelerator is to securely access the first address space and the second address space. Other embodiments are described and claimed.

Abstract: Examples relate to a non-transitory, computer-readable medium, method, and computer system for prefetching data during executing of a computer program. The non-transitory, computer-readable medium comprises machine-readable instructions that, when the program code is executed on a processor, causes the processor to pre-fetch to a processor cache, using data transfer offloading circuitry of the processor, data being accessed by an application program from a main memory of the computer system, and to execute the computer program using the pre-fetched data that is stored in the processor cache.

Abstract: Methods and apparatus relating to data streaming accelerators are described. In an embodiment, a hardware accelerator such as a Data Streaming Accelerator (DSA) logic circuitry performs data movement and/or data transformation for data to be transferred between a processor (having one or more processor cores) and a storage device. Other embodiments are also disclosed and claimed.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Methods and apparatus relating to dynamic capability discovery and enforcement for accelerators and devices in multi-tenant systems are described. In an embodiment, a hardware accelerator device advertises one or more available operations and/or capabilities of the hardware accelerator device to one or more tenants. Logic circuitry controls access to the one or more available operations and/or capabilities of the one or more work queues on a per-tenant basis. Other embodiments are also disclosed and claimed.

Abstract: In one embodiment, an apparatus comprises a fabric controller of a first computing node. The fabric controller is to receive, from a second computing node via a network fabric that couples the first computing node to the second computing node, a request to execute a kernel on a field-programmable gate array (FPGA) of the first computing node; instruct the FPGA to execute the kernel; and send a result of the execution of the kernel to the second computing node via the network fabric.

Abstract: A processor may determine, based on a length of an input key, whether to compute a hash value based on the input key or cause an accelerator device coupled to the processor to compute the hash value based on the input key. The processor may cause a hash table lookup operation to be performed based on the hash value.

Abstract: Apparatus and method for high-performance page fault handling. For example, one embodiment of an apparatus comprises: one or more accelerator engines to process work descriptors submitted by clients to a plurality of work queues; fault processing hardware logic associated with the one or more accelerator engines, the fault processing hardware logic to implement a specified page fault handling mode for each work queue of the plurality of work queues, the page fault handling modes including a first page fault handling mode and a second page fault handling mode.

Abstract: Apparatus and method for managing pipeline depth of a data processing device. For example, one embodiment of an apparatus comprises: an interface to receive a plurality of work requests from a plurality of clients; and a plurality of engines to perform the plurality of work requests; wherein the work requests are to be dispatched to the plurality of engines from a plurality of work queues, the work queues to store a work descriptor per work request, each work descriptor to include information needed to perform a corresponding work request, wherein the plurality of work queues include a first work queue to store work descriptors associated with first latency characteristics and a second work queue to store work descriptors associated with second latency characteristics; engine configuration circuitry to configure a first engine to have a first pipeline depth based on the first latency characteristics and to configure a second engine to have a second pipeline depth based on the second latency characteristics.

Abstract: Methods and apparatus relating to data streaming accelerators are described. In an embodiment, a hardware accelerator such as a Data Streaming Accelerator (DSA) logic circuitry provides high-performance data movement and/or data transformation for data to be transferred between a processor (having one or more processor cores) and a storage device. Other embodiments are also disclosed and claimed.

Abstract: Methods and apparatus relating to scalable access control checking for cross-address-space data movement are described. In an embodiment, a memory stores an InterDomain Permissions Table (IDPT) having a plurality of entries. At least one entry of the IDPT provides a relationship between a target address space identifier and a plurality of requester address space identifiers. A hardware accelerator device allows access to a target address space, corresponding to the target address space identifier, by one or more of requesters, corresponding to the plurality of requester address space identifiers, respectively, based at least in part on the relationship provided by the at least one entry of the IDPT. Other embodiments are also disclosed and claimed.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Technologies for accessing pooled accelerator resources over a network fabric are disclosed. In disclosed embodiments, an application hosted by a computing platform accesses remote accelerator resources over a network fabric using protocol multipathing mechanisms. A communication session is established with the remote accelerator resources. The communication session comprises at least two connections. The at least two connections at least include a first connection having or utilizing a first transport layer and a second connection having or utilizing a second transport layer that is different than the first transport layer. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for pooling accelerators over fabric are disclosed. In the illustrative embodiment, an application may access an accelerator device over an application programming interface (API) and the API can access an accelerator device that is either local or a remote accelerator device that is located on a remote accelerator sled over a network fabric. The API may employ a send queue and a receive queue to send and receive command capsules to and from the accelerator sled.