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Elmoustapha Ould-Ahmed-Vall
Researcher at Intel
Publications - 299
Citations - 1664
Elmoustapha Ould-Ahmed-Vall is an academic researcher from Intel. The author has contributed to research in topics: Operand & Opcode. The author has an hindex of 19, co-authored 299 publications receiving 1656 citations. Previous affiliations of Elmoustapha Ould-Ahmed-Vall include Georgia Institute of Technology & AMIT.
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Instruction and logic to provide vector horizontal compare functionality
TL;DR: In this article, an instruction specifying: a destination operand, a size of vector elements, a source operand and a mask corresponding to a portion of the vector element data fields in the source operands, corresponding to the mask and compare the values for equality.
Patent
Vector friendly instruction format and execution thereof
Robert Valentine,Jesus Corbal San Adrian,Roger Espasa Sans,Robert Dale Cavin,Bret L. Toll,Santiago Galan Duran,Jeffrey G. Wiedemeier,Sridhar Samudrala,Milind B. Girkar,Edward T. Grochowski,Jonathan C. Hall,Dennis R. Bradford,Elmoustapha Ould-Ahmed-Vall,James C. Abel,Mark J. Charney,Seth Abraham,Suleyman Sair,Andrew T. Forsyth,Lisa Wu,Charles R. Yount +19 more
TL;DR: A vector friendly instruction format as mentioned in this paper has a plurality of fields including a base operation field, a modifier field, an augmentation operation field and a data element width field, wherein the first instruction format supports different versions of base operations and different augmentation operations through placement of different values in the base operator field, the modifier field and the alpha field.
Proceedings ArticleDOI
Using Model Trees for Computer Architecture Performance Analysis of Software Applications
TL;DR: A model-tree based approach based on the M5' algorithm is implemented and validated that accounts for event interactions and workload characteristics, attesting it as a sound approach for performance analysis of modern superscalar machines.
Journal ArticleDOI
Distributed Fault-Tolerance for Event Detection Using Heterogeneous Wireless Sensor Networks
TL;DR: A general fault-tolerant event detection scheme that allows nodes to detect erroneous local decisions by leveraging the local decisions reported by their neighbors and is proven to be optimal under the maximum a posteriori (MAP) criterion.
Proceedings ArticleDOI
Distributed unique global ID assignment for sensor networks
TL;DR: A distributed algorithm to solve the unique ID assignment problem is presented and it is demonstrated that a high percentage of nodes are assigned globally unique IDs at the termination of the algorithm when the algorithm parameters are set properly.