International Business Machines Corporation

Ranjal Gautham Shenoy

Alper Buyuktosunoglu

Pradip Bose

Vaidyanathan Srinivasan

Augusto Javier Vega

Parth Sanjaybhai Shah

Aspects of the invention include distributed systems and methods that provide data aggregation in a fast, lock-free manner. A non-limiting example computer-implemented method includes producing new data at a first producer node of a distributed system having two or more producer nodes, a consumer node, and a global view. The global view includes a hierarchical binary tree of cell addresses. Each producer node includes a local view of the global view. Responsive to producing the new data, the local view of the first producer node is updated with the new data and a local timestamp and, if the local timestamp is greater than a global timestamp, a pointer in a cell address of the global view is flipped to point to the new data.

Lock-free data aggregation on distributed systems

Systems, computer-implemented methods and/or computer program products that facilitate management of resources are provided. In one embodiment, a computer-implemented method comprises: employing, by a system operatively coupled to a processor, at least one model to predict respective token needs by a set of processing elements during execution of a workload; and exchanging, by the system, one or more tokens between a subset of the processing elements as a function of the predicted token needs.

Swarm-based resource management

A method, computer program product, and/or system associates a number of tokens with a plurality of frequency domains (for example, cores) of a central processing unit (CPU) computer chip. The number of tokens allotted to the CPU is based on the CPU power budget. Cores are organized as a ring topology. A token pool traverses the ring, picks up excess tokens from cores having excess tokens, and gives the tokens to cores that need additional tokens. Tokens acquired by a core allows the core to increase operating frequency by an increment represented by the tokens. Consequently, power usage is weighted toward heavily loaded cores and away from lightly loaded cores. Overall power usage of the CPU remains within a power budget. The method budgets power optimally to sustain turbo frequencies for longer durations by not allowing control units to increase frequency in absence of any useful high frequency benefiting workload.

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Bengaluru, India

Ranjal Gautham Shenoy