The DRAMPower tool has been updated to v2.1 with support for variation-aware power estimation for a selection of DDR3 memories, based on the analysis presented in our DAC ’13 article. Towards this, 15 sample datasheets reflecting the impact of process-variations on DRAM currents have been added to tool.
For more information, or to download the tool, please refer to the official DRAMPower website.
Today, we congratulate Hazem Ali for having his first paper accepted at RTCSA. The paper is entitled “Critical-Path-First Based Allocation of Real-Time Streaming Applications on 2D Mesh-Type Multi-Cores” and proposes a mapping strategy for streaming applications, represented as acyclic data-flow graphs with throughput requirements, to multi-core architectures under partitioned EDF scheduling. The key idea is to first map tasks on the critical-paths of the application to minimize their execution time and thereby increasing the chance to satisfy the throughput constraint. The camera-ready version is available here.
Hazem Ali is a PhD student at the CISTER-ISEP Research Unit in Porto, supervised by Luis Miguel Pinho and myself, and this paper is a result of my six month visit there last year and the fruitful collaboration it has resulted in afterwards.
ACM Transactions on Embedded Computing Systems (TECS) just accepted our article “Process-Variation Aware Mapping of Best-Effort and Real-Time Streaming Applications to MPSoCs”. This work discusses how to efficiently map streaming applications, represented as synchronous data-flow graphs, with different types of real-time requirements to multi-processor systems affected by process variation (maximum frequencies of each processor follows a statistical distribution). The main goal is to map the tasks of the applications to the system in such a way that the probability of satisfying the real-time requirements of the applications is maximized. This work is an extension of the conference paper “Process-Variation Aware Mapping of Real-Time Streaming Applications to MPSoCs for Improved Yield”, presented at ISQED in 2012. The camera-ready version is available here.