Power profiling-guided floorplanner for thermal optimization in 3D multiprocessor architectures
PATMOS'11 Proceedings of the 21st international conference on Integrated circuit and system design: power and timing modeling, optimization, and simulation
Waveperf: a benchmark generator for performance evaluation
ACM SIGBED Review - 2nd Workshop on Embed With Linux (EWiLi 2012)
Asymmetric Cache Coherency: Policy Modifications to Improve Multicore Performance
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
A novel NoC-based design for fault-tolerance of last-level caches in CMPs
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
The locality-aware adaptive cache coherence protocol
Proceedings of the 40th Annual International Symposium on Computer Architecture
Performance analysis of multi-threaded multi-core CPUs
Proceedings of the First International Workshop on Many-core Embedded Systems
An automatic energy consumption characterization of processors using ArchC
Journal of Systems Architecture: the EUROMICRO Journal
Fast and accurate power estimation method based on a PMU counter
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
NoC-based fault-tolerant cache design in chip multiprocessors
ACM Transactions on Embedded Computing Systems (TECS) - Special Issue on Design Challenges for Many-Core Processors, Special Section on ESTIMedia'13 and Regular Papers
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Multicore processors are the main computing platform in laptops, desktop, and servers today, and are making their way into the embedded systems market also. Using benchmarks is a common approach to evaluate the performance of a system. However, benchmarks for embedded systems have so far been either targeted for a uni-processor environment, e.g., MiBench,or have been commercial, e.g., MultiBench by EEMBC. In this paper, we propose and implement an open source benchmark,ParMiBench, targeted for multiprocessor-based embedded systems. ParMiBench consists of parallel implementations of seven compute intensive algorithms from the uni-processor benchmark suite MiBench. The applications are selected from four domains:Automation and Industry Control, Network, Office, and Security.