منابع مشابه
Forward Progress on GPU Concurrency
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years in the Multicore Programming Group at Imperial College London, and with collaborators internationally, related to understanding and reasoning about concurrency in software designed for acceleration on GPUs. In this article we provide an overview of this work, which includes contributions to data ...
متن کاملImproving Multi-Application Concurrency Support Within the GPU Memory System
GPUs exploit a high degree of thread-level parallelism to efficiently hide long-latency stalls. Thanks to their latencyhiding abilities and continued improvements in programmability, GPUs are becoming a more essential computational resource. Due to the heterogeneous compute requirements of different applications, there is a growing need to share the GPU across multiple applications in large-sca...
متن کاملTrue Concurrency = Interleaving Concurrency + Weak Conflict
In this paper we show that true concurrency is not the same as interleaving concur rency for systems that allow read access More precisely whenever two actions are interleavingly concurrent they are also truly concurrent but the converse is not al ways true due to a phenomena that we call weak con ict that allows the possibility of one writer to act in parallel with one or many readers
متن کاملConcurrency Counts
One of the natural examples to the power of concurrency is the ability to count to n with log n concurrent processes. In this work we study the cost of counting within weaker types of concurrency, where no cooperation takes place between the concurrent processes, except when time comes to decide whether the input should be accepted. We first study the number of states required for deterministic...
متن کاملConcurrency Patterns
Developing muli-threaded applications is harder than developing sequential programs because an object can be manipulated concurrently by multiple threads. This paper paraphrases the concurrency patterns described in [POSA2], including the Producer-Consumer, Active Object, Monitor Object, HalfSync/ Half-Async and Leader/ Followers pattern.
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ژورنال
عنوان ژورنال: ACM SIGPLAN Notices
سال: 2015
ISSN: 0362-1340,1558-1160
DOI: 10.1145/2775054.2694391