Intel Corporation

Stephan A Herhut

Richard Lewis Hudson

Tatiana Shpeisman

Rajkishore Barik

Jaswanth Sreeram

Methods, apparatus, systems, and articles of manufacture are disclosed to steal work in heterogeneous computing systems. An apparatus includes load balancing circuitry to obtain tasks from a workload by encoding minimum and maximum index ranges of a data parallel operation, allocate a first task from the workload to a first work queue based on a first capability of first computation circuitry, the first computation circuitry to process the first task in the first work queue, and allocate a second task from the workload to a second work queue, second computation circuitry to process the second task in the second work queue. The apparatus further includes first work stealer logic to steal the second task from the second work queue using an atomic operation to access the second work queue.

Work stealing in heterogeneous computing systems

A work stealer apparatus includes a determination module. The determination module is to determine to steal work from a first hardware computation unit of a first type for a second hardware computation unit of a second type that is different than the first type. The work is to be queued in a first work queue, which is to correspond to the first hardware computation unit, and which is to be stored in a shared memory that is to be shared by the first and second hardware computation units. A synchronized work stealer module is to steal the work through a synchronized memory access to the first work queue. The synchronized memory access is to be synchronized relative to memory accesses to the first work queue from the first hardware computation unit.

Systems and methods may provide for identifying an object in a managed runtime environment and determining an age of the object at a software level of the managed runtime environment. Additionally, the object may be selectively allocated in one of a dynamic random access memory (DRAM) or a non-volatile random access memory (NVRAM) based at least in part on the age of the object. In one example, the data type of the object is also determined, wherein the object is selectively allocated further based on the data type.

Managed runtime extensions to reduce power consumption in devices with hybrid memory

A system and method for automatic memory management of a shared memory during parallel processing of a web application. The system includes a computing system configured to allow parallel computing of a web application executed within a web browser. The computing system includes shared memory having a set of blocks distributed at least a first thread and at least one spawned thread of a processing function of the web application. The memory is partitioned into a nursery heap, a mature heap and a database having a plurality of private nurseries, wherein the first thread has access to the nursery heap and mature heap and the at least one spawned thread has access to an associated one of the plurality of private nurseries. During parallel computing of the web application, management of the shared memory includes garbage collection of at least each of the plurality of private nurseries.

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Santa Clara, CA, United States of America

Stephan A Herhut