Results 11 to 20 of about 3,115,284 (271)
IEEE Access, 2021 Processing-in-memory (PIM) comprises computational logic in the memory domain. It is the most promising solution to alleviate the memory bandwidth problem in deep neural network (DNN) processing.
Young Sik Lee, Tae Hee Han
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Automatic Inference of Task Parallelism in Task-Graph-Based Actor Models
IEEE Access, 2018 Automatic inference of task level parallelism is fundamental for ensuring many kinds of safety and liveness properties of parallel applications. For example, two tasks running in parallel may be involved in data races when they have conflicting memory ...
Abu Naser Masud +2 more
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Generalized Task Parallelism [PDF]
ACM Transactions on Architecture and Code Optimization, 2015 Existing approaches to automatic parallelization produce good results in specific domains. Yet, it is unclear how to integrate their individual strengths to match the demands and opportunities of complex software. This lack of integration has both practical reasons, as integrating those largely differing approaches into one compiler would impose an ...
Sebastian Hack +4 more
openaire +3 more sources
The Eureka Programming Model for Speculative Task Parallelism [PDF]
European Conference on Object-Oriented Programming, 2015 In this paper, we describe the Eureka Programming Model (EuPM) that simplifies the expression of speculative parallel tasks, and is especially well suited for parallel search and optimization applications.
Imam, Shams, Sarkar, Vivek
core +3 more sources
Scalable Task Parallelism for NUMA
International Conference on Parallel Architectures and Compilation Techniques, 2016 Andi Drebes +4 more
openalex +3 more sources
IEEE Transactions on Parallel and Distributed Systems, 2021 Vast data and computing resources are commonly needed to train deep neural networks, causing an unaffordable price for individual users. Motivated by the increasing demands of deep learning applications, sharing well-trained models becomes popular.
Yunlong Mao +5 more
semanticscholar +1 more source
Toward Efficient Similarity Search under Edit Distance on Hybrid Architectures
Information, 2022 Edit distance is the most widely used method to quantify similarity between two strings. We investigate the problem of similarity search under edit distance.
Madiha Khalid +2 more
doaj +1 more source
Resolving ambiguous polarity stripping ellipsis structures in Persian
Glossa, 2021 Previous studies have shown that English speakers use a range of factors including locality, information structure, and semantic parallelism to interpret clausal ellipsis structures. Yet, the relative importance of each factor is currently underexplored.
Jesse Harris, Vahideh Rasekhi
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Exploiting Task Parallelism with OpenCL: A Case Study
Journal of Signal Processing Systems, 2018 While data parallelism aspects of OpenCL have been of primary interest due to the massively data parallel GPUs being on focus, OpenCL also provides powerful capabilities to describe task parallelism.
P. Jääskeläinen +8 more
semanticscholar +2 more sources
Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs
IEEE Access, 2023 Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbalance.
David Alvarez, Vicenc Beltran
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