Concurrent and parallel system implementations are challenging and rewarding ways to optimize performance, scalability, and efficiency of your applications. However, they also introduce new ...

A sixth pattern for using Haskell in concurrent systems is monads and effects, which are abstractions that help you manage side effects, such as IO, state, exceptions, or concurrency.

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

Transactional memory systems represent a paradigm shift in concurrent programming by abstracting low-level lock management and enabling sequences of operations to be executed as atomic transactions.

In the past decade, high performance compute capabilities exhibited by heterogeneous GPGPU platforms have led to the popularity of data parallel programming languages such as CUDA and OpenCL.

Covers the principles of parallel computing and distributed systems, focusing on multi-threading, synchronization, and communication across networks. - b-tang/cs-4075-concurrent-and-distributed-prog.

And all of these threads also need an arena. But the amount of arenas is limited. This limit depends on the number of CPU cores. For 32-bit systems, the limit is twice the number of cores, and on ...

This has led to the emergence of several High Performance Computing frameworks which provide high-level abstractions for easing the development of data-parallel applications on heterogeneous platforms ...