Ahmed Zekri

Orbital Algorithms and Unified Array Processor for Computing 2D Separable Transforms

The two-dimensional (2D) forward/inverse discrete Fourier transform (DFT), discrete cosine transform (DCT), discrete sine transform (DST), discrete Hartley transform (DHT), discrete Walsh-Hadamard transform (DWHT), play a fundamental role in many practical applications. Due to the separability property, all these transforms can be uniquely defined as a triple matrix product with one matrix transposition. Based on a systematic approach to represent and schedule different forms of the

The general matrix multiply-add operation on 2D torus

n\times n

Matrix Transpose on 2D Torus Array Processor

matrix-matrix multiply-add (MMA) operation in 3D index space, we design new orbital highly-parallel/scalable algorithms and present an efficient

Power management in virtualized data centers: state of the art

n\times n

Tracking and repairing damaged healthcare databases using the matrix

unified array processor for computing {\it any}

Computationally efficient parallel matrix-matrix multiplication on the torus

n\times n

Recovery of business intelligence systems: Towards guaranteed continuity of patient centric healthcare systems through a matrix-based recovery approach

forward/inverse discrete separable transform in the minimal

A new feature extraction method for license plate recognition

2n

Power and Cost-aware Virtual Machine Placement in Geo-distributed Data Centers.

time-steps. Unlike traditional 2D systolic array processing, all

Optimizing image spatial filtering on single CPU core

n^2