Many important applications exhibit large amounts of data parallelism, and modern computer systems are designed to take advantage of it. While much of the computation in the multi...
Development of a research project in Computer Science, integrating a considerable number of research institutions and about 1200 individual researchers all over a country with big...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...