Search Results - Java Executor framework*

Peachy Parallel Assignments (EduPar 2019) by Ozturk, Ozcan, Glick, Ben, Mache, Jens, Bunde, David

“…Peachy Parallel Assignments are a resource for instructors teaching parallel and distributed programming. These are high-quality assignments, previously tested…”
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Comparison of Java Virtual and Non-Virtual Threads in Parallel Programming by Sirotic, Zlatko, Sovilj, Sinisa, Orsulic, Matija, Pripuzic, Kresmir

“…The Java programming language, in its long-term support version 21 (released in September 2023…”
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Nime: a native in-memory compute framework for cluster computing by Chen, Chao, Wang, Zhenghua, Jiang, Chen, Wang, Zheng

“… However, executors run on top of Java virtual machines (JVMs), which incurs a significant runtime overhead in terms of memory and compute resources and thus deteriorates the system’s performance…”
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An Analytical study of Performance towards Task-level Parallelism on Many-core systems using Java API by Nair, Lekshmi S

“… Java provides three prominent APIs: Executor, Fork-Join and Parallel Streams frameworks to achieve task-level parallelism…”
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HetSpark: A Framework that Provides Heterogeneous Executors to Apache Spark by Hidri, Klodjan Klodi, Bilas, Angelos, Kozanitis, Christos

“… Utilizing these devices is not trivial task however from an engineering effort perspective since developers versed in distributed computing frameworks, such as Apache Spark are used to developing…”
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TaskLocalRandom: a statistically sound substitute to pseudorandom number generation in parallel java tasks frameworks by Passerat‒Palmbach, Jonathan, Mazel, Claude, Hill, David R. C.

“… Meanwhile, Java 7 offers a framework to split a problem in a divide and conquer way through the new class called ForkJoinPool…”
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Scaling Instant Messaging Communication Services: A Comparison of Blocking and Non-Blocking Techniques by Botvich, Dmitri, Griffin, Leigh, Ryan, Kieran, de Leastar, Eamonn

“… Specifically, a conventional Java Executor approach is compared with a functional approach realised through Scala and its Actors framework…”
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Ignis: An efficient and scalable multi-language Big Data framework by Piñeiro, César, Martínez-Castaño, Rodrigo, Pichel, Juan C.

“… (Java Virtual Machine) languages by default. In order to support non-JVM languages, subprocesses are created and connected to the framework using system pipes…”
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Design of Mimic Application Framework Based on NETTY by Yu, Xinsheng, Lv, Zhuo, Chang, Hao, Yu, Weidong, Li, Xiang, Quan, Shuilong, Chen, Cen, Li, Nuannuan, Wu, Yue, Meng, Xuanzhe, Huang, Jia

“… The Netty based mimic application framework provides users with such a set of tools. Due to the use of Java to develop mimic components such as distributors, arbiters…”
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Scaling Instant Messaging communication services: A comparison of blocking and non-blocking techniques by Griffin, L., Ryan, K., de Leastar, E., Botvich, D.

“… Specifically, a conventional Java Executor approach is compared with a functional approach realised through Scala and its Actors framework…”
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Memory Optimizations for Distributed Executors in Big Data Clouds by Sahin, Semih

“… Distributed executors are widely used as the computation abstractions for providing data parallelism and computation parallelism in large computing clusters…”
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A Novel Scalable DBSCAN Algorithm with Spark by Dianwei Han, Agrawal, Ankit, Wei-Keng Liao, Choudhary, Alok

“… We present a new parallel DBSCAN algorithm using the new big data framework Spark. In order to reduce search time, we apply kd-tree in our algorithm…”
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ISTTOK control system upgrade by Carvalho, Ivo S., Duarte, Paulo, Fernandes, Horácio, Valcárcel, Daniel F., Carvalho, Pedro J., Silva, Carlos, Duarte, André S., Neto, André, Sousa, Jorge, Batista, António J.N., Carvalho, Bernardo B.

“…s control cycle under the MARTe framework.•The ISTTOK control system upgrade provides reliable operation with an improved operational space…”
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A Shared-Memory Coupled Architecture to Leverage Big Data Frameworks in Prototyping and In-situ Analytics for Data Intensive Scientific Workflows by Lemon, Alexander Michael

“…There is a pressing need for creative new data analysis methods which can sift through scientific simulation data and produce meaningful results. The types of…”
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Framework synthesis for symbolic execution of event-driven frameworks by Jeon, Jinseong

“…Symbolic execution is a powerful program analysis technique, but it is very challenging to apply to programs built using event-driven frameworks, such as Android…”
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Domination, Subordination, and the Role of Cultural Brokers in the Context of Dutch Colonial Power in Indonesia: The Case of Cisaga Plantation Industrial Landscape in West Java by Nuralia, Lia, Sulistiyono, Singgih Tri, Imadudin, Iim, Budiman, Hary Ganjar, Marzuki, Irfanuddin Wahid

“… The domination of power is seen in the role of cultural brokers at the Cisaga Plantation in Ciamis, West Java, Indonesia, during the Dutch colonial period…”
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File based GRID thread implementation in the .NET-based Alchemi Framework by Bikas, M.A.N., Hussain, A., Shoeb, A., Hasan, M.K., Rabbi, M.F.

“… Among the several software toolkits those help us to implement a grid environment, Alchemi is widely used and open source toolkit that runs on the Windows operating system in the .NET Framework…”
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SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation by Šukys, Jonas, Bacci, Marco

“…We present SPUX - a modular framework for Bayesian inference enabling uncertainty quantification and propagation in linear and nonlinear, deterministic and stochastic models, and supporting Bayesian model selection…”
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Automatic Refactoring Approach for Asynchronous Mechanisms with CompletableFuture by Zhang, Yang, Xie, Zhaoyang, Yue, Yanxia, Qi, Lin

“…To address the inherent limitations of Future in asynchronous programming frameworks, JDK…”
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Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation by Han, Dianwei, Agrawal, Ankit, Liao, Wei-keng, Choudhary, Alok

“…DBSCAN is a well-known clustering algorithm which is based on density and is able to identify arbitrary shaped clusters and eliminate noise data. However,…”
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