International Business Machines Corporation

Alon Shalev Housfater

Roger C Raphael

Rajesh M Desai

Paul Sherwood Taylor

Kazuaki Ishizaki

Philip E Parker

Gita Koblents

Akihiro Hayashi

Provided are a computer program product, system, and method for distributed processing of a query with distributed posting lists. A dispatch map has entries, wherein each entry identifies one of a plurality of terms in a dictionary, wherein for each of the terms there is a posting list identifying zero or more objects including the term, wherein at least one of the dispatch map entries indicate at least one distributed processing element including the posting list for the term. The dispatch map is used to dispatch sub-expressions comprising portions of a query to distributed processing elements having the posting lists for terms in the sub-expressions, wherein the distributed processing elements distributed the sub-expressions execute the sub-expressions on the posting lists for the terms in the sub-expression.

Distributing posting lists to processing elements

A method, computer program product, and system includes a processor(s) obtaining, during runtime, from a compiler, two versions of a data parallel loop for an operation. The host computing system comprises includes a CPU and a GPU is accessible to the host. The processor(s) online profiles the two versions by asynchronously executing the first version, in a profile mode, with the GPU and executing the second version, in the profile mode, with the CPU. The processor(s) generates execution times for the first version and the second version. The processor(s) stores the executions times and performance data in a storage, where the performance data comprises a size of the data parallel loop for the operation. The processor(s) update a regression model(s) to predict performance numbers for a process of an unknown loop size. The processor(s) execute the operation with the CPU or the GPU based on the performance data.

Runtime GPU/CPU selection

Distributed processing of a search query with distributed posting lists

Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Domain specific representation of document text for accelerated natural language processing

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Vaughan, Canada

Alon Shalev Housfater