Runtime-assisted coherent caching

P Caheny - 2020 - upcommons.upc.edu
In the middle of the 2000s a fundamental change of course occurred in computer
architecture because techniques such as frequency scaling and instruction level parallelism …

Memory-centric approximate computing

DK Wang - 2020 - ideals.illinois.edu
As Moore's law continues to decline, diminishing benefits of transistor scaling necessitate a
move towards specialized hardware. Approximate computing is one type of specialization …

Parallel architectures and runtime systems co-design for task-based programming models

E Castillo Villar - 2019 - upcommons.upc.edu
The increasing parallelism levels in modern computing systems has extolled the need for a
holistic vision when designing multiprocessor architectures taking in account the needs of …

Energy efficient computing exploiting data similarity and computation redundancy

Z Liu - 2019 - ideals.illinois.edu
Applications in various fields, such as machine learning, scientific computing and
signal/image processing, need to deal with real-world input datasets. Such input datasets …

[图书][B] Tackling the computation and memory needs of interactive workloads on next generation platforms

PV Rengasamy - 2019 - search.proquest.com
User interactive applications are hugely popular today with millions of applications to
download from various app stores. These growing number of applications with billions of …

Approximating a Multi-Grid Solver

V Le Fevre, L Bautista-Gomez, O Unsal… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Multi-grid methods are numerical algorithms used in parallel and distributed processing. The
main idea of multigrid solvers is to speedup the convergence of an iterative method by …