Although the MapReduce programming model has so far been highly successful, not all applications are well suited to this model. Spark bridges this gap by providing seamless support for iterative and interactive jobs that are hard to express using the acyclic data flow model pioneered by MapReduce. While benchmarking Spark, we identified that the default broadcast mechanism implemented in the Sp...

Motorcycle performance is influenced by many factors, including combustion chamber dimension, fuel characteristic, type of spark plug, spray flame, ignition timing, and the chamber's cooling system to avoid incomplete knocking processes. The plug an essential component SIE. Several studies, such as gap, material type, multiple-ground Electrode, roughness, etc., have been conducted examine effec...

While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, batch and stream data processing. There is also a renewed interest is Near Data Computing (NDC) due to technological advancement in the last decade. However, it is not known if ...

Corresponding Author: Shomanov Aday Department of Computer Science, al-Farabi Kazakh National University, Almaty, Kazakhstan Email: [email protected] Abstract: Parallel computations are essential tool in solving large-scale computationally demanding problems. Due to large diversity and heterogeneity of the currently available parallel processing techniques and paradigms it is usually diff...

The one dimension computational model of a sequential injection engine, which runs on compressed natural gas (CNG) with spark ignition, is developed for this study, to simulate the performance of gas flow pressure profile, under various speed conditions. The computational model is used to simulate and study of the steady state and transient processes of the intake manifold. The sequential injec...

Scale-out parallel processing based on MPI is a 25-year-old standard with at least another decade of preceding history of enabling technologies in the High Performance Computing community. Newer frameworks such as MapReduce, Hadoop, and Spark represent industrial scalable computing solutions that have received broad adoption because of their comparative simplicity of use, applicability to relev...

Debugging data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. Today's DISC systems offer very little tooling for debugging programs, and as a result programmers spend countless hours collecting evidence (e.g., from log files) and performing trial and error debugging. To aid this effort, we built Titian, a library that enables data ...

Cooled exhaust gas recirculation is emerging as a promising technology to address the increasing demand for fuel economy without compromising performance in turbocharged spark injection engines. The objectives of this study are to quantify the increase in knock resistance and to decrease the enrichment and emission at high load. For this purpose four stroke turbo charged Spark Ignition engine (...

The efficiencies of methods employed in solution of building simulation models are considered and compared by means of benchmark testing. Direct comparisons between the Simulation Problem Analysis and Research Kernel (SPARK) and the HVACSIM+ programs are presented, as are results for SPARK versus conventional and sparse matrix methods. An indirect comparison between SPARK and the IDA program is...