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Managing power consumption in a System-On-Chip (SoC) design is becoming increasingly important. SoCs generally consist of various co-processors. Accurate power estimation of these co-processors at the highest possible abstraction level helps in performing early power-aware design tradeoffs. This paper presents a methodology to create abstract statistical power models for hardware co-processors and...
Accurate and efficient power estimation at higher-levels of abstraction is becoming increasingly important. However, tools and methodologies are lacking for such a task. In this paper, we present a methodology for accurate power estimation at high-level by reusing pre-existing verification or validation resources in the design flow. This novel methodology enables architectural exploration and design...
Embedded systems are becoming complex day by day and their increasing demand with shorter time-to-market is forcing designers to migrate to electronic system-level (ESL). One of the biggest issues with such battery-operated electronics is the power consumption. Facilitating power-aware architectural exploration at ESL requires a fast and accurate system-level power analysis capability. Existing frameworks...
Peer-to-peer (P2P) networks consist of nodes where the communication and data sharing is carried on directly between nodes, rather than being arbitrated by an intermediary node. Each node in such a network can act as both a client and a server. The computing power from such a network can help solve computationally complex problems that require powerful supercomputers. This research proposes P2PCompute...
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