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Showing 1 to 9 of 9 for “"Offloading Computation"”.

  1. Branch Prediction For Network Processors

    … has tended to focus on techniques such as offloading computation intensive tasks to dedicated hardware logic or through increased parallelism. While parallelism retains flexibility, challenges such as load-balancing limit its scope. On the other hand, hardware offloading allows complex …

    dcu Repository record for Branch Prediction For Network Processors (opens in a new tab)

  2. SemCache: Semantics-Aware Caching for Efficient GPU Offloading

    … making them an attractive target for computation-intensive applications. However, GPUs have a separate memory space which introduces the complexity of manually handling explicit data movements between GPU and CPU memory spaces. Although GPU kernels/libraries have made it easy to …

    purdue-thes Repository record for SemCache: Semantics-Aware Caching for Efficient GPU Offloading (opens in a new tab)

  3. Making Computation on Encrypted Data Practical through Hardware Acceleration of Fully Homomorphic Encryption

    Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000× over unencrypted computation. Hardware acceleration is an attractive …

    mit Repository record for Making Computation on Encrypted Data Practical through Hardware Acceleration of Fully Homomorphic Encryption (opens in a new tab)

  4. Scheduling Policies for Cloud Computing

    … to boost the performance of mobile devices by offloading computation-intensive parts of mobile applications to the cloud. However, this potential is hindered by a gap between how individual mobile devices demand computational resources and how cloud providers offer them. In this thesis, we …

    temple Repository record for Scheduling Policies for Cloud Computing (opens in a new tab)

  5. Synchronous Data Sharing Using Augmented Reality Enabled Handheld Devices

    … collaboration. Existing research indicated that offloading computation-intensive tasks to an external server enhances overall system efficiency and facilitates easier scalability in terms of adding processing power or storage capabilities. In line with this, I proposed an architecture that …

    houston Repository record for Synchronous Data Sharing Using Augmented Reality Enabled Handheld Devices (opens in a new tab)

  6. Embedded Computing for Wavefront Control on Future Space Telescopes

    … of multiple algorithms through analyses of computational patterns, benchmarks, and problem scaling. In parallel, we assess the capabilities of current and emerging spaceborne processors. We integrate these findings to model processor requirements across several dimensions of telescope …

    mit Repository record for Embedded Computing for Wavefront Control on Future Space Telescopes (opens in a new tab)

  7. Practical Cryptographically Private and Verifiable Computation through Hardware-Software Co-Design

    Fully Homomorphic Encryption (FHE) and Verifiable Computation (VC) enable offloading computation to untrusted servers with cryptographic privacy and integrity guarantees. Despite their attractive security properties, FHE and VC are not widely adopted because (1) they suffer prohibitive performance …

    mit Repository record for Practical Cryptographically Private and Verifiable Computation through Hardware-Software Co-Design (opens in a new tab)

  8. Multi-criteria decision support for energy-efficient IoT edge computing offloading

    Computation offloading is one of the primary technological enablers of the Internet of Things (IoT), as it helps address individual devices’ resource restrictions (e.g. process- ing and memory). In the past, offloading would always utilise remote cloud infrastruc- tures, but the increasing size of …

    greenwich Repository record for Multi-criteria decision support for energy-efficient IoT edge computing offloading (opens in a new tab)