Energy Efficiency Effects of Vectorization in Data Reuse Transformations for Many-Core Processors—A Case Study †
Thread-level and data-level parallel architectures have become the design of choice in many of today’s energy-efficient computing systems. However, these architectures put substantially higher requirements on the memory subsystem than scalar architectures, making memory latency and bandwidth critica...
Main Authors: | Abdullah Al Hasib, Lasse Natvig, Per Gunnar Kjeldsberg, Juan M. Cebrián |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-02-01
|
Series: | Journal of Low Power Electronics and Applications |
Subjects: | |
Online Access: | http://www.mdpi.com/2079-9268/7/1/5 |
Similar Items
-
Improving main memory hash joins on Intel Xeon Phi processors
by: Jha, Saurabh, et al.
Published: (2018) -
MeMPA: A Memory Mapped M-SIMD Co-Processor to Cope with the Memory Wall Issue
by: Angela Guastamacchia, et al.
Published: (2024-02-01) -
Vector Functionally-Oriented Processors with Vertical Parallelism for Operations on Quaternions
by: KALYNOVSKIY, Y., et al.
Published: (2013-11-01) -
A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes
by: Hamidreza Khaleghzadeh, et al.
Published: (2020-01-01) -
VECTORIZATION OF OPERATIONS ON SMALL- DIMENSIONAL MATRICES FOR INTEL XEON PHI KNIGHTS LANDING PROCESSOR
by: Leonid A. Benderskiy, et al.
Published: (2018-03-01)