Tag Archives: Intel Labs

Research Updates from the ISTC for Big Data

In August, researchers from Intel and participating institutions gathered at the Intel Science and Technology Center for Big Data’s annual Research Retreat at Intel’s Jones Farm campus in Hillsboro, Oregon to present their latest work and describe their progress. Here … Continue reading

Posted in Benchmarks, Big Data Architecture, DBMS, Graph Computation, ISTC for Big Data Blog, Storage | Tagged , , , , , | Leave a comment

Fast Data Analysis with SVD

By Jack Dongarra, University of Tennessee Knoxville and Innovative Computing Laboratory The GenBase benchmark was developed as a collaboration with the Intel Parallel Computing Lab, the Broad Institute and Novartis, and the MIT Database Group. Among many challenging tests that the benchmark includes is a computation of the Singular Value … Continue reading

Posted in Analytics, Benchmarks, Big Data Architecture, High-Performance Computing, ISTC for Big Data Blog, Math and Algorithms | Tagged , , , , , | Leave a comment

OLTP Database Systems for Non-Volatile Memory

By Joy Arulraj, Justin Debrabant, Andrew Pavlo, Michael Stonebraker, Stan Zdonik, and Subramanya Dulloor In this joint collaboration between Brown, CMU, MIT CSAIL and Intel Labs, we explore two possible use cases of Non-Volatile Memory (NVM) for on-line transaction processing (OLTP) DBMSs. Evaluation of software systems using NVM is challenging … Continue reading

Posted in Big Data Architecture, Computer Architecture, DBMS, ISTC for Big Data Blog | Tagged , , , , , | Leave a comment

S-Store: Real-Time Analytics Meets Transaction Processing

By Nesime Tatbul, Intel Labs and MIT Managing high-speed data streams generated in real time is an integral part of today’s big data applications. In a wide range of domains from social media to financial trading, there is a growing … Continue reading

Posted in Big Data Applications, Databases and Analytics, DBMS, ISTC for Big Data Blog, Streaming Big Data | Tagged , , , , , | Leave a comment

Approximate Analytics: Keeping Pace with Big Data using Parallel Locality Sensitive Hashing

By Narayanan Sundaram and Nadathur Satish, Intel Parallel Computing Lab We tend to think of big data problems as those involving finding a needle in a haystack. However, many big data problems tend to be those estimating the shape or … Continue reading

Posted in Analytics, Big Data Architecture, Databases and Analytics, ISTC for Big Data Blog, Math and Algorithms, Tools for Big Data | Tagged , , , , , | Comments Off on Approximate Analytics: Keeping Pace with Big Data using Parallel Locality Sensitive Hashing

Intel’s Nesime Tatbul Joins ISTC for Big Data as First On-Site Embedded Researcher

By Jeff Parkhurst, Intel Labs I’m pleased to announce that Nesime Tatbul, Ph.D., of Intel Labs has joined the Intel Science and Technology Center for Big Data as its first full-time, on-site embedded researcher. The ISTC for Big Data is … Continue reading

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