Xrt: programming-language independent mapreduce on shared-memory systems
E Selin, H Viktor - 2018 IEEE International Congress on Big …, 2018 - ieeexplore.ieee.org
Increasing processor core-counts have created an opportunity for efficient parallel
processing of large datasets on shared-memory systems. When compared to clusters of …
processing of large datasets on shared-memory systems. When compared to clusters of …
[PDF][PDF] OPTIMIZED JOB SCHEDULING BASED ON WORKLOAD IN HADOOP
MS Kumar - ijetcse.com
MapReduce is an important paradigm for processing very large scale dataset. MapReduce
is one of the most popular methods for processing large dataset it can run on large …
is one of the most popular methods for processing large dataset it can run on large …
Improved Programming-Language Independent MapReduce on Shared-Memory Systems
EG Selin, HL Viktor - Big Data Analytics and Knowledge Discovery: 21st …, 2019 - Springer
The MapReduce programming paradigm is a prominent model for expressing parallel
computations, especially in the context of data processing of vast data sets. However …
computations, especially in the context of data processing of vast data sets. However …
Check for updates Improved Programming-Language Independent MapReduce on Shared-Memory Systems
EG Selin, HL Viktor - … , DaWaK 2019, Linz, Austria, August 26–29 …, 2019 - books.google.com
The MapReduce programming paradigm is a prominent model for expressing parallel
computations, especially in the context of data processing of vast data sets. However …
computations, especially in the context of data processing of vast data sets. However …
[PDF][PDF] ASAP D2. 3 Program analysis and transformation
ASAP D2.3 Program analysis and transformation Page 1 FP7 Project ASAP Adaptable Scalable
Analytics Platform ASAP D2.3 Program analysis and transformation WP 2 – A unified analytics …
Analytics Platform ASAP D2.3 Program analysis and transformation WP 2 – A unified analytics …