Shrikanth Ganapathy

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Related publications (4)

Energy vs. Reliability Trade-offs Exploration in Biomedical Ultra-Low Power Devices

David Atienza Alonso, Pablo Garcia del Valle, Andreas Peter Burg, Loris Gérard Duch, Shrikanth Ganapathy

State-of-the-art wearable devices such as embedded biomedical monitoring systems apply voltage scaling to lower as much as possible their energy consumption and achieve longer battery lifetimes. While embedded memories often rely on Error Correction Codes ...

Ieee2016

Mitigating the Impact of Faults in Unreliable Memories For Error-Resilient Applications

Andreas Peter Burg, Georgios Karakonstantis, Adam Shmuel Teman, Shrikanth Ganapathy

Inherently error-resilient applications in areas such as signal processing, machine learning and data analytics provide opportunities for relaxing reliability requirements, and thereby reducing the overheads incurred by conventional error correction scheme ...

2015

Approximate Computing With Unreliable Dynamic Memories

Andreas Peter Burg, Georgios Karakonstantis, Adam Shmuel Teman, Robert Giterman, Shrikanth Ganapathy

Embedded memories account for a large fraction of the overall silicon area and power consumption in modern SoC(s). While embedded memories are typically realized with SRAM, alternative solutions, such as embedded dynamic memories (eDRAM), can provide highe ...

2015

Variability-Aware Design Space Exploration of Embedded Memories

Andreas Peter Burg, Georgios Karakonstantis, Shrikanth Ganapathy

With scaling of process technologies and worsening of process variations, embedded memories are susceptible to a large number of failure mechanisms making it hard to achieve high yield. In this paper, by bringing together architecture and circuit-level exp ...

2014

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