TY - GEN
T1 - An Efficient Workload Distribution Mechanism for Tightly Coupled Heterogeneous Hardware
AU - Rivera-Alvarado, Ernesto
AU - Torres-Rojas, Francisco J.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The Accelerated Processing Units (APUs) are tightly integrated heterogeneous computing platforms that contain a CPU and GPU in a single integrated circuit. As their internal computing resources use the same memory (RAM), they can efficiently share data structures. This opens up the opportunity for creating new types of specialized algorithms for the APU. In this research, we designed a specialized load distribution mechanism for the APU and used image rendering as our test load as it is a highly expensive computational task. We found out that our workload distribution mechanism provides better performance than conventional workload mechanisms for GPUs and multicore CPUs.
AB - The Accelerated Processing Units (APUs) are tightly integrated heterogeneous computing platforms that contain a CPU and GPU in a single integrated circuit. As their internal computing resources use the same memory (RAM), they can efficiently share data structures. This opens up the opportunity for creating new types of specialized algorithms for the APU. In this research, we designed a specialized load distribution mechanism for the APU and used image rendering as our test load as it is a highly expensive computational task. We found out that our workload distribution mechanism provides better performance than conventional workload mechanisms for GPUs and multicore CPUs.
KW - APU
KW - Computer architecture
KW - Heterogeneous computing
KW - Image rendering
KW - SoC
KW - System-on-chip
KW - Tightly coupled heterogeneous hardware
KW - Workload distribution
UR - https://www.scopus.com/pages/publications/85148019787
U2 - 10.1007/978-981-19-7660-5_21
DO - 10.1007/978-981-19-7660-5_21
M3 - Contribución a la conferencia
AN - SCOPUS:85148019787
SN - 9789811976599
T3 - Lecture Notes in Networks and Systems
SP - 243
EP - 251
BT - Intelligent Sustainable Systems - Selected Papers of WorldS4 2022
A2 - Nagar, Atulya K.
A2 - Singh Jat, Dharm
A2 - Mishra, Durgesh Kumar
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2022
Y2 - 24 August 2022 through 27 August 2022
ER -