Concurrent Programming Paradigms, A Comparison in Scala
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Transactional memory (TM) is expected to become a widely used parallel programming paradigm for multi-core architectures. To reach this goal, we need tools that do not only help develop TMs, but also test them and evaluate them on a wide range of workloads ...
The actor computation model is especially suited for concurrent and distributed computations. Actors are basically concurrent processes which communicate through asynchronous message passing. When combined with pattern matching for messages, actor-based pr ...
Leveraging the full power of multicore processors demands new tools and new thinking from the software industry.
Concurrency has long been touted as the "next big thing" and "the way of the future," but for the past 30 years, mainstream software developme ...
We propose and demonstrate a reconfigurable tunable encoder for two-dimensional time–wavelength optical code division multiple access (OCDMA). This encoder is capable of creating 2D codes with variable code weight, enabling differentiated service provision ...
Exploiting the emerging reality of affordable multi-core architectures goes through providing programmers with simple abstractions that would enable them to easily turn their sequential programs into concurrent ones that expose as much parallelism as possi ...
Software transactional memory (STM) is a promising technique for controlling concurrency in modern multi-processor architectures. STM aims to be more scalable than coarse-grained locking and easier to use than fine-grained locks. However, STM implementatio ...
In practice, concurrent programming systems based on message passing are often instantiations of the actor model. A popular implementation of this form of concurrency is the Erlang programming language. Erlang supports massively concurrent systems such as ...
In chip multiprocessors (CMPs), limiting the number of off-chip cache misses is crucial for good performance. Many multithreaded programs provide opportunities for constructive cache sharing, in which concurrently scheduled threads share a largely overlapp ...
We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general- ...