Abstract: Implementations detailed herein include description of a computer-implemented method.

Abstract: Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.

Abstract: Implementations detailed herein include description of a computer-implemented method.

Abstract: Techniques for partitioning data flow operations between execution on a compute instance and an attached accelerator instance are described. A set of operations supported by the accelerator is obtained. A set of operations associated with the data flow is obtained. An operation in the set of operations associated with the data flow is identified based on the set of operations supported by the accelerator. The accelerator executes the first operation.

Abstract: Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes provisioning an application instance and portions of at least one accelerator attached to the application instance to execute a machine learning model of an application of the application instance; loading the machine learning model onto the portions of the at least one accelerator; receiving scoring data in the application; and utilizing each of the portions of the attached at least one accelerator to perform inference on the scoring data in parallel and only using one response from the portions of the accelerator.

Abstract: Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.

Abstract: Implementations detailed herein include description of a computer-implemented method.

Abstract: Implementations detailed herein include description of a computer-implemented method.

Abstract: Implementations detailed herein include description of a computer-implemented method.

Abstract: Technologies for authenticated audio login by a user of a computing device include generating a security token having a plurality of token characters. The computing device renders the generated security token to a current user of the computing device on an output device of the computing device. The computing device, receives security token audio input from the current user and retrieves, based on the rendered security token, voice profile data of an authorized user of the computing device from a voice profile database. The voice profile database includes voice data based on the authorized user's prior recitation of each token character of a set of token characters from which the security token may be composed. The computing device compares the received security token audio input and the retrieved voice profile data to verify that the current user is the authenticated user and the current user recited the rendered security token.

Abstract: A method, apparatus, and system are provided for performing compare and exchange operations using a sleep-wakeup mechanism. According to one embodiment, an instruction at a processor is executed to help acquire a lock on behalf of the processor. If the lock is unavailable to be acquired by the processor, the instruction is put to sleep until an event has occurred.

Abstract: A computer system may comprise a computer platform and input-output devices. The computer platform may include a plurality of heterogeneous processors comprising a central processing unit (CPU) and a graphics processing unit (GPU) and a shared virtual memory supported by a physical private memory space of at least one heterogeneous processor or a physical shared memory shared by the heterogeneous processor. The CPU (producer) may create shared multi-version data and store such shared multi-version data in the physical private memory space or the physical shared memory. The GPU (consumer) may acquire or access the shared multi-version data.

Abstract: A method and apparatus for accelerating a software transactional memory (STM) system is described herein. Annotation field are associated with lines of a transactional memory. An annotation field associated with a line of the transaction memory is initialized to a first value upon starting a transaction. In response to encountering a read operation in the transaction, then annotation field is checked. If the annotation field includes a first value, the read is serviced from the line of the transaction memory without having to search an additional write space. A second and third value in the annotation field potentially indicates whether a read operation missed the transactional memory or a tentative value is stored in a write space. Additionally, an additional bit in the annotation field, may be utilized to indicate whether previous read operations have been logged, allowing for subsequent redundant read logging to be reduced.

Abstract: Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings.

Abstract: A method and apparatus for efficient and consistent validation/conflict detection in a Software Transactional Memory (STM) system is herein described. A version check barrier is inserted after a load to compare versions of loaded values before and after the load. In addition, a global timestamp (GTS) is utilized to track a latest committed transaction. Each transaction is associated with a local timestamp (LTS) initialized to the GTS value at the start of a transaction. As a transaction commits it updates the GTS to a new value and sets versions of modified locations to the new value. Pending transactions compare versions determined in read barriers to their LTS. If the version is greater than their LTS indicating another transaction has committed after the pending transaction started and initialized the LTS, then the pending transaction validates its read set to maintain efficient and consistent transactional execution.

Abstract: Technologies for authenticated audio login by a user of a computing device include generating a security token having a plurality of token characters. The computing device renders the generated security token to a current user of the computing device on an output device of the computing device. The computing device, receives security token audio input from the current user and retrieves, based on the rendered security token, voice profile data of an authorized user of the computing device from a voice profile database. The voice profile database includes voice data based on the authorized user's prior recitation of each token character of a set of token characters from which the security token may be composed. The computing device compares the received security token audio input and the retrieved voice profile data to verify that the current user is the authenticated user and the current user recited the rendered security token.

Abstract: Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings.

Abstract: A method and apparatus for hybrid validation for a Software Transaction Memory (STM) is herein described. During execution of a transaction, when acquiring ownership of meta-data associated with a data element, the meta-data is updated with an ownership reference to a transaction to enable efficient subsequent ownership tests. However, during validation, for some conditions, meta-data is updated from the ownership reference to a write entry reference to enable efficient validation.

Abstract: A method and apparatus for enabling a Software Transactional Memory (STM) with precompiled binaries is herein described. Upon encountering an access operation in a transaction, an annotation field associated with a memory location referenced by the access is checked. In response to the memory location representing a previous similar access within the transaction, the access is performed without access barriers. However, if the annotation field is in a default state representing no previous access during a pendancy of the transaction, then a mode of the processor is determined. If the processor mode is in implicit mode, an access handler/barrier is asynchronously executed. Conversely, in an explicit mode, a flag is set instead of asynchronously executing the handler. In addition, during compilation convert explicit and convert implicit instructions are inserted to intelligently convert modes for precompiled and newly compiled binaries.

Abstract: A method and apparatus for accelerating a Software Transactional Memory (STM) system is herein described. A data object and metadata for the data object may each be associated with a filter, such as a hardware monitor or ephemerally held filter information. The filter is in a first, default state when no access, such as a read, from the data object has occurred during a pendancy of a transaction. Upon encountering a first access to the metadata, such as a first read, access barrier operations, such as logging of the metadata; setting a read monitor; or updating ephemeral filter information with an ephemeral/buffered store operation, are performed. Upon a subsequent/redundant access to the metadata, such as a second read, access barrier operations are elided to accelerate the subsequent access based on the filter being set to the second state to indicate a previous access occurred.