Data synchronized pipeline architecture: pipelining in multiprocessor environments - J脡GOU, SEZNEC - 1987 () Citation Context ...e. 5. A generic architecture for codesign Our generic model for HW/SW codesign is based c time parallel execution of threads T1 & T2 on the DSPA (data synchronized...
It has been accepted for inclusion in Computer Science Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact digitalcommons@odu.edu. Repository Citation Bailey, R. L. and Mukkamala, R., "Pipelining Data Compression Algorithms" (1990). ...
This situation or hazard will not occur if we had separate data cache and instruction cache.2) Data HazardIn data hazard, read and write operations of shared variables by different instructions in a pipeline may lead to different kind of data dependencies such as,...
One reason that I particularly like is that kernels for over 50 languages have been developed for the Jupyter notebook system thus far, including ones for Scala and Julia, two increasingly popular languages in the data science arena. Getting back to R and Python, here are two notebook snippet...
- 《Cold Regions Science and Technology》 被引量: 0发表: 2010年 Dynamic Contribution Analysis of Tennis-serve-motion in Consideration of Torque Generating Mode To predict the worst case execution time (WCET) of real-time tasks, we should consider various factors (e.g., caching, pipelining, ...
In recent years, there has been increasing interest on using task-level pipelining to accelerate the overall execution of applications mainly consisting of producer/consumer tasks. This paper presents coarse/fine-grained data flow synchronization approac
The method relies on a data-flow streaming extension of OpenMP. These advances are made possible thanks to progresses in compiler intermediate representation. We describe our usage of the Static Single Assignment (SSA) form, how we extend it to the context of concurrent streaming tasks, and we ...
Continuous streaming computations are usually composed of different modules, exchanging data through shared message queues. The selection of the algorithm used to access such queues (i.e. the concurrency control) is a critical aspect both for performance and power consumption. In this paper we ...
Conventional compilers typically ignore the potential benefits of keeping array elements in registers for reuse, due in part to the fact that standard data flow analysis techniques used in register allocation are not expressive enough to distinguish amon
Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture. Y Kim,J Lee,J Lee,T X Mai,I Heo,Y Paek. Lecture Notes in Computer Science . 2012Y. Kim, J. Lee, J. Lee, T. X. Mai, I. Heo, and Y. Paek, "Exploiting both pipelining and data parallelism with ...