Search Results for author: Anil Madhavapeddy

Found 7 papers, 0 papers with code

Energy-Aware Deep Learning on Resource-Constrained Hardware

no code implementations18 May 2025 Josh Millar, Hamed Haddadi, Anil Madhavapeddy

The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing.

Deep Learning

Benchmarking Ultra-Low-Power $μ$NPUs

no code implementations28 Mar 2025 Josh Millar, Yushan Huang, Sarab Sethi, Hamed Haddadi, Anil Madhavapeddy

Our framework provides a foundation for further evaluation of $\mu$NPU platforms alongside valuable insights for both hardware designers and software developers in this rapidly evolving space.

Benchmarking

Terracorder: Sense Long and Prosper

no code implementations5 Aug 2024 Josh Millar, Sarab Sethi, Hamed Haddadi, Anil Madhavapeddy

In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifetime and coverage.

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces

no code implementations19 Jan 2022 Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy

Consequently, they are susceptible to a multiplicity of attacks across the hardware, software, and networking stacks used that can leak users' brainwave data or at worst relinquish control of BCI-assisted devices to remote attackers.

Retrofitting Parallelism onto OCaml

no code implementations24 Apr 2020 KC Sivaramakrishnan, Stephen Dolan, Leo White, Sadiq Jaffer, Tom Kelly, Anmol Sahoo, Sudha Parimala, Atul Dhiman, Anil Madhavapeddy

OCaml is an industrial-strength, multi-paradigm programming language, widely used in industry and academia.

Programming Languages D.3.4

Personal Data: Thinking Inside the Box

no code implementations20 Jan 2015 Hamed Haddadi, Heidi Howard, Amir Chaudhry, Jon Crowcroft, Anil Madhavapeddy, Richard Mortier

We propose there is a need for a technical platform enabling people to engage with the collection, management and consumption of personal data; and that this platform should itself be personal, under the direct control of the individual whose data it holds.

Computers and Society

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