All these approaches achieve concurrency in the form of pipelining and/or parallel processing at the expense of increase in hardware overhead. In cost-effective decoders, we need to implement high-speed decoders using little or no hardware overhead. To this end, we propose a new concurrent ...
Parallel processes are eitherfine-grainedorcoarse-grained. In fine-grained parallel processing, tasks communicate with one another multiple times. This is suitable for processes that require real-time data. Coarse-grained parallel processing, on the other hand, deals with larger pieces of a task and...
Parallel computing refers to the process of using multiple computing resources to solve computing problems at the same time, and an effective approach to improve the computing speed and processing power of computer systems. The fundamental idea is to use multiple processors to solve the same problem...
Parallel Processing LettersVol. 13, No. 03, pp. 317-328 (2003) No Access M. BAMHA and M. EXBRAYAT https://doi.org/10.1142/S0129626403001306Cited by:12(Source: Crossref) Previous Next PDF/EPUB Tools Share Cite Recommend Abstract
On-Chip Parallel Processing Architectural enhancements on RISC processors can be grouped into three distinct categories: superpipelining, superscaling, and multi-CPU integration. Superpipelining This technique breaks the instruction pipeline into smaller pipeline stages, allowing the CPU to start executing ...
(Multiple Instruction Streams Single Data Stream): Systolic Architectures Replace single processor with an array of regular processing elements Orchestrate data flow for high throughput with less memory access PE = Processing Element M = Memory Different from linear pipelining Nonlinear array structure, ...
The workload for each parallel loop iteration is too small to benefit from the overhead for parallel processing. You can improve the performance of this loop by performing more work in the loop body or by performing the loop serially. [go to top] Express Parallelism at the Highest Possible ...
Pipelining所有的并行DBMS都是通过在执行期创建一个分布到相应节点的查询计划进行操作的。当该计划中的某个操作必须向下一个操作发送数据时,不管它们是运行在同一个还是不同的节点上,满足条件的数据都会被第一个操作推送给下一个操作。因此数据是流式地从生产者发送到消费者,中间数据不会写入磁盘。这种流式技术与MR...
Parallel processing 1 'Parallel processing' is the ability to carry out multiple operations or tasks simultaneously. The term is used in the contexts of both human cognition, particularly in the ability of the brain to simultaneously process incoming stimuli, and in parallel computing by machines. ...
A parallel processing control apparatus comprises processing blocks each providing an equal function and incorporating pipeline operation units; a status register for storing statuses of the processin