We introduce the Concurrent Collections (CnC) programming model. CnC supports flexible combinations of task and data parallelism while retaining determinism. CnC is implicitly parallel, with the user provid-ing high-level operations along with semantic ordering constraints that together form a CnC graph. We formally describe the execution semantics of CnC and prove that the model guarantees deterministic computation. We evaluate the performance of CnC implementations on several applications and show that CnC offers performance and scalability equivalent to or better than that offered by lower-level parallel programming models.
In previous work we developed a framework of computational models for the concurrent execution of fu...
Though multicore systems are ubiquitous, parallel programming models for these systems are generally...
This thesis develops a computational model, a programming notation, and a set of programming princip...
We introduce the Concurrent Collections (CnC) programming model. In this model, programs are written...
Concurrent Collections (CnC)[8] is a declarative parallel language that allows the application devel...
Abstract. In this paper we introduce the Concurrent Collections pro-gramming model, which builds on ...
Intel Concurrent Collections (CnC) is a parallel programming model in which a network of steps (func...
It has been claimed that what simplifies parallelism can also simplify resilience. Based on that ass...
With modern advancements in hardware and software technology scaling towards new limits, our compute...
Stream processing is a special form of the dataflow execution model that offers extensive opportunit...
We present a programming methodology and runtime performance case study comparing the declarative da...
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Int...
2022 Spring.Includes bibliographical references.Today, computation intensive applications are run on...
Parallel programming is hard and programmers still struggle to write code for shared memory multicor...
We present a high-level parallel calculus for nested sequences, NSC, offered as a possible theoreti...
In previous work we developed a framework of computational models for the concurrent execution of fu...
Though multicore systems are ubiquitous, parallel programming models for these systems are generally...
This thesis develops a computational model, a programming notation, and a set of programming princip...
We introduce the Concurrent Collections (CnC) programming model. In this model, programs are written...
Concurrent Collections (CnC)[8] is a declarative parallel language that allows the application devel...
Abstract. In this paper we introduce the Concurrent Collections pro-gramming model, which builds on ...
Intel Concurrent Collections (CnC) is a parallel programming model in which a network of steps (func...
It has been claimed that what simplifies parallelism can also simplify resilience. Based on that ass...
With modern advancements in hardware and software technology scaling towards new limits, our compute...
Stream processing is a special form of the dataflow execution model that offers extensive opportunit...
We present a programming methodology and runtime performance case study comparing the declarative da...
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Int...
2022 Spring.Includes bibliographical references.Today, computation intensive applications are run on...
Parallel programming is hard and programmers still struggle to write code for shared memory multicor...
We present a high-level parallel calculus for nested sequences, NSC, offered as a possible theoreti...
In previous work we developed a framework of computational models for the concurrent execution of fu...
Though multicore systems are ubiquitous, parallel programming models for these systems are generally...
This thesis develops a computational model, a programming notation, and a set of programming princip...