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Raid Ayoub - IEEE Xplore Author Profile
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Raid Ayoub

Also published under: Raid Z. Ayoub, R. Ayoub

Publications
44
Citations
575
Publications by Year
20042023
Co-Authors:
Show All Co-Authors (53)
Image of author Raid Ayoub

Raid Ayoub

Also published under: Raid Z. Ayoub, R. Ayoub

Affiliation

Intel Corporation
Hillsboro
OR, USA

Publication Topics

Biography

Raid Ayoub (S09) received the BS and MS degrees in electrical engineering from the University of Technology, Baghdad, Iraq, and the PhD degree in computer engineering from the department of computer science and engineering, University of California at San Diego, La Jolla, in 2011. Currently, he is a research scientist at the strategic CAD labs of Intel Corporation. His current research interests include dynamic control and runtime optimizations at the system level to improve energy efficiency and performance of computing systems.(Based on document published on 16 March 2017).
Publications
44
Citations
575
Publications by Year
20042023
Co-Authors:
Show All Co-Authors (53)
Author's Published Works

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Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems

Gaurav Narang;Raid Ayoub;Michael Kishinevsky;Janardhan Rao Doppa;Partha Pratim Pande

2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
Year: 2023 | Conference Paper |
Large-scale manycore System-on-Chips (SoCs) need to satisfy the conflicting objectives of maximizing performance and minimizing energy consumption for dynamically changing applications. In this paper, we consider the problem of dynamic power management (DPM) in large manycore SoCs for unseen applications at runtime. We employ a machine learning (ML) based DPM policy, which selects the voltage/freq...Show More

Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems

Gaurav Narang;Raid Ayoub;Michael Kishinevsky;Janardhan Rao Doppa;Partha Pratim Pande

Year: 2023 | Conference Paper |

Fast Analysis Using Finite Queuing Model for Multilayer NoCs

Shruti Y. Narayana;Sumit K. Mandal;Raid Ayoub;Mohammad M. Islam;Michael Kishinevsky;Umit Y. Ogras

IEEE Design & Test
Year: 2023 | Volume: 40, Issue: 6 | Magazine Article |
Cited by: Papers (1)
This article introduces a performance analysis technique that accounts for interlayer dependencies in multilayer Networks-on-Chip (NoCs). This technique is based on estimating queuing delays and blocking probabilities between layers. Show More

Fast Analysis Using Finite Queuing Model for Multilayer NoCs

Shruti Y. Narayana;Sumit K. Mandal;Raid Ayoub;Mohammad M. Islam;Michael Kishinevsky;Umit Y. Ogras

Year: 2023 | Volume: 40, Issue: 6 | Magazine Article |

On the Benefits of Leveraging Structural Information in Planning Over the Learned Model

Jiajun Shen;Kananart Kuwaranancharoen;Raid Ayoub;Pietro Mercati;Shreyas Sundaram

2023 American Control Conference (ACC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years. However, learning the model can incur a significant cost (in terms of sample complexity), due to the need to obtain a sufficient number of samples for each state-action pair. In this paper, we investigate the benefits of leveraging structural information about the system ...Show More

On the Benefits of Leveraging Structural Information in Planning Over the Learned Model

Jiajun Shen;Kananart Kuwaranancharoen;Raid Ayoub;Pietro Mercati;Shreyas Sundaram

Year: 2023 | Conference Paper |

A Lightweight Congestion Control Technique for NoCs with Deflection Routing

Shruti Yadav Narayana;Sumit K. Mandal;Raid Ayoub;Michael Kishinevsky;Umit Y. Ogras

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Year: 2023 | Conference Paper |
Network-on-Chip (NoC) congestion builds up during heavy traffic load and leads to wasted link bandwidth, crippling the system performance. We propose a lightweight machine learning-based technique that helps predict congestion in the net-work by collecting features related to traffic at each destination and labelling it using a novel time reversal approach. The labelled data is used to design a lo...Show More

A Lightweight Congestion Control Technique for NoCs with Deflection Routing

Shruti Yadav Narayana;Sumit K. Mandal;Raid Ayoub;Michael Kishinevsky;Umit Y. Ogras

Year: 2023 | Conference Paper |

Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers

Sumit K. Mandal;Shruti Yadav Narayana;Raid Ayoub;Michael Kishinevsky;Ahmed Abousamra;Umit Y. Ogras

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Year: 2023 | Volume: 31, Issue: 5 | Journal Article |
Cited by: Papers (2)
Weighted round-robin (WRR) arbitration provides global fairness in networks-on-chip (NoCs) as opposed to the commonly used round-robin and priority-based arbitration techniques. However, the large number of weights explodes the design space and exacerbates performance (latency-throughput) tuning. Therefore, fast and accurate performance analysis techniques for NoCs are crucial for accelerating des...Show More

Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers

Sumit K. Mandal;Shruti Yadav Narayana;Raid Ayoub;Michael Kishinevsky;Ahmed Abousamra;Umit Y. Ogras

Year: 2023 | Volume: 31, Issue: 5 | Journal Article |

Dynamic Reliability Management of Multigateway IoT Edge Computing Systems

Kazim Ergun;Raid Ayoub;Pietro Mercati;Tajana Šimunić Rosing

IEEE Internet of Things Journal
Year: 2023 | Volume: 10, Issue: 5 | Journal Article |
Cited by: Papers (8)
The emerging paradigm of edge computing envisions to overcome the shortcomings of cloud-centric Internet of Things (IoT) by providing data processing and storage capabilities closer to the source of data. Accordingly, IoT edge devices, with the increasing demand of computation workloads on them, are prone to failures more than ever. Hard failures in hardware due to aging and reliability degradatio...Show More

Dynamic Reliability Management of Multigateway IoT Edge Computing Systems

Kazim Ergun;Raid Ayoub;Pietro Mercati;Tajana Šimunić Rosing

Year: 2023 | Volume: 10, Issue: 5 | Journal Article |

Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration

Sumit K. Mandal;Jie Tong;Raid Ayoub;Michael Kishinevsky;Ahmed Abousamra;Umit Y. Ogras

2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Fast and accurate performance analysis techniques are essential in early design space exploration and pre-silicon evaluations, including software eco-system development. In particular, on-chip communication continues to play an increasingly important role as the many-core processors scale up. This paper presents the first performance analysis technique that targets networks-on-chip (NoCs) that emp...Show More

Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration

Sumit K. Mandal;Jie Tong;Raid Ayoub;Michael Kishinevsky;Ahmed Abousamra;Umit Y. Ogras

Year: 2021 | Conference Paper |

Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems

Kazim Ergun;Raid Ayoub;Pietro Mercati;Dancheng Liu;Tajana Rosing

2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
The Internet of Things (IoT) systems, as any electronic or mechanical system, are prone to failures. Hard failures in hardware due to aging and degradation are particularly important since they are irrecoverable, requiring maintenance for the replacement of defective parts, at high costs. In this paper, we propose a novel dynamic reliability management (DRM) technique for IoT edge computing system...Show More

Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems

Kazim Ergun;Raid Ayoub;Pietro Mercati;Dancheng Liu;Tajana Rosing

Year: 2021 | Conference Paper |

Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic

Sumit K. Mandal;Raid Ayoub;Micahel Kishinevsky;Mohammad M. Islam;Umit Y. Ogras

IEEE Embedded Systems Letters
Year: 2021 | Volume: 13, Issue: 3 | Journal Article |
Cited by: Papers (9)
Networks-on-Chip (NoCs) used in commercial many-core processors typically incorporate priority arbitration. Moreover, they experience bursty traffic due to application workloads. However, most state-of-the-art NoC analytical performance analysis techniques assume fair arbitration and simple traffic models. To address these limitations, we propose an analytical modeling technique for priority-aware...Show More

Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic

Sumit K. Mandal;Raid Ayoub;Micahel Kishinevsky;Mohammad M. Islam;Umit Y. Ogras

Year: 2021 | Volume: 13, Issue: 3 | Journal Article |

Analytical Modeling of NoCs for Fast Simulation and Design Exploration(Invited)

Raid Ayoub;Michael Kishinevsky;Sumit K. Mandal;Umit Y. Ogras

2020 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)
Year: 2020 | Conference Paper |
Networks-On-Chip are widely used in modern System-on-Chips to provide necessary communication between growing number of IP blocks. They are paramount to performance and power as they constitute primary shared resources in the systems. Modern system-lvel simulators and design exploration tools integrate cycle-accurate models of the NoCs which are notoriously slow and therefore severely impact the d...Show More

Analytical Modeling of NoCs for Fast Simulation and Design Exploration(Invited)

Raid Ayoub;Michael Kishinevsky;Sumit K. Mandal;Umit Y. Ogras

Year: 2020 | Conference Paper |

Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion

Sumit K. Mandal;Anish Krishnakumar;Raid Ayoub;Michael Kishinevsky;Umit Y. Ogras

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Priority-aware networks-on-chip (NoCs) are used in industry to achieve predictable latency under different workload conditions. These NoCs incorporate deflection routing to minimize queuing resources within routers and achieve low latency during low traffic load. However, deflected packets can exacerbate congestion during high traffic load since they consume the NoC bandwidth. State-of-the-art ana...Show More

Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion

Sumit K. Mandal;Anish Krishnakumar;Raid Ayoub;Michael Kishinevsky;Umit Y. Ogras

Year: 2020 | Conference Paper |

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs

Sumit K. Mandal;Umit Y. Ogras;Janardhan Rao Doppa;Raid Z. Ayoub;Michael Kishinevsky;Partha P. Pande

2020 57th ACM/IEEE Design Automation Conference (DAC)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Dynamic resource management has become one of the major areas of research in modern computer and communication system design due to lower power consumption and higher performance demands. The number of integrated cores, level of heterogeneity and amount of control knobs increase steadily. As a result, the system complexity is increasing faster than our ability to optimize and dynamically manage th...Show More

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs

Sumit K. Mandal;Umit Y. Ogras;Janardhan Rao Doppa;Raid Z. Ayoub;Michael Kishinevsky;Partha P. Pande

Year: 2020 | Conference Paper |

Simulating Reliability of IoT Networks with RelIoT

Kazim Ergun;Xiaofan Yu;Nitish Nagesh;Ludmila Cherkasova;Pietro Mercati;Raid Ayoub;Tajana Rosing

2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
The Internet of Things (IoT) networks are expected to operate reliably for many years while meeting the needs of a growing range of applications. However, a dependable operation may not always be maintained due to the reliability degradation of IoT devices. From low-power sensors to multi-core platforms, IoT devices age and degrade, leading to failures that necessitate maintenance. Reliability-awa...Show More

Simulating Reliability of IoT Networks with RelIoT

Kazim Ergun;Xiaofan Yu;Nitish Nagesh;Ludmila Cherkasova;Pietro Mercati;Raid Ayoub;Tajana Rosing

Year: 2020 | Conference Paper |

A Survey on Energy Management for Mobile and IoT Devices

Sudeep Pasricha;Raid Ayoub;Michael Kishinevsky;Sumit K. Mandal;Umit Y. Ogras

IEEE Design & Test
Year: 2020 | Volume: 37, Issue: 5 | Magazine Article |
Cited by: Papers (56)
Mobile and IoT devices have proliferated our daily lives. However, these miniaturized computing systems should be highly energy-efficient due to their ultrasmall form factor. Hence, energy management is of utmost importance for both mobile and IoT devices. This article presents a comprehensive survey on this topic.Show More

A Survey on Energy Management for Mobile and IoT Devices

Sudeep Pasricha;Raid Ayoub;Michael Kishinevsky;Sumit K. Mandal;Umit Y. Ogras

Year: 2020 | Volume: 37, Issue: 5 | Magazine Article |

Dynamic Optimization of Battery Health in IoT Networks

Kazim Ergun;Raid Ayoub;Pietro Mercati;Tajana Rosing

2019 IEEE 37th International Conference on Computer Design (ICCD)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
The reliability and maintainability of the Internet of Things (IoT) devices become highly important as the number of "things" grows rapidly. The majority of the IoT devices have batteries which age, degrade, and eventually require maintenance. Existing work focuses on ensuring that batteries have sufficient amount of stored charge to operate until they can recharge, but does not consider battery d...Show More

Dynamic Optimization of Battery Health in IoT Networks

Kazim Ergun;Raid Ayoub;Pietro Mercati;Tajana Rosing

Year: 2019 | Conference Paper |

STAFF: Online Learning with Stabilized Adaptive Forgetting Factor and Feature Selection Algorithm

Ujjwal Gupta;Manoj Babu;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Umit Y. Ogras

2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
Dynamic resource management techniques rely on power consumption and performance models to optimize the operating frequency and utilization of processing elements, such as CPU and GPU. Despite the importance of these decisions, many existing approaches rely on fixed power and performance models that are learned offline. However, offline models cannot guarantee accuracy when workloads differ signif...Show More

STAFF: Online Learning with Stabilized Adaptive Forgetting Factor and Feature Selection Algorithm

Ujjwal Gupta;Manoj Babu;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Umit Y. Ogras

Year: 2018 | Conference Paper |

An Online Learning Methodology for Performance Modeling of Graphics Processors

Ujjwal Gupta;Manoj Babu;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Suat Gumussoy;Umit Y. Ogras

IEEE Transactions on Computers
Year: 2018 | Volume: 67, Issue: 12 | Journal Article |
Cited by: Papers (9)
Approximately 18 percent of the 3.2 million smartphone applications rely on integrated graphics processing units (GPUs) to achieve competitive performance. Graphics performance, typically measured in frames per second, is a strong function of the GPU frequency, which in turn has a significant impact on mobile processor power consumption. Consequently, dynamic power management algorithms have to as...Show More

An Online Learning Methodology for Performance Modeling of Graphics Processors

Ujjwal Gupta;Manoj Babu;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Suat Gumussoy;Umit Y. Ogras

Year: 2018 | Volume: 67, Issue: 12 | Journal Article |

Dynamic Power Budgeting for Mobile Systems Running Graphics Workloads

Ujjwal Gupta;Raid Ayoub;Michael Kishinevsky;David Kadjo;Niranjan Soundararajan;Ugurkan Tursun;Umit Y. Ogras

IEEE Transactions on Multi-Scale Computing Systems
Year: 2018 | Volume: 4, Issue: 1 | Journal Article |
Cited by: Papers (20)
Competitive graphics performance is crucial for the success of state-of-the-art mobile processors. High graphics performance comes at the cost of higher power consumption, which elevates the temperature due to limited cooling solutions. To avoid thermal violations, the system needs to operate within a power budget. Since the power budget is a shared resource, there is a strong demand for effective...Show More

Dynamic Power Budgeting for Mobile Systems Running Graphics Workloads

Ujjwal Gupta;Raid Ayoub;Michael Kishinevsky;David Kadjo;Niranjan Soundararajan;Ugurkan Tursun;Umit Y. Ogras

Year: 2018 | Volume: 4, Issue: 1 | Journal Article |

Multi-variable dynamic power management for the GPU subsystem

Pietro Mercati;Raid Ayoub;Michael Kishinevsky;Eric Samson;Marc Beuchat;Francesco Paterna;Tajana Šimunić Rosing

2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
In this work, we present a control-theoretic algorithm to improve the energy efficiency of the GPU targeting deadline-driven graphics applications. Our algorithm dynamically controls multiple power knobs within the GPU (DVFS and number of active slices) that have different control time granularities. We developed a multi-rate predictive control to overcome the time granularity constraints in the c...Show More

Multi-variable dynamic power management for the GPU subsystem

Pietro Mercati;Raid Ayoub;Michael Kishinevsky;Eric Samson;Marc Beuchat;Francesco Paterna;Tajana Šimunić Rosing

Year: 2017 | Conference Paper |

Adaptive performance prediction for integrated GPUs

Ujjwal Gupta;Joseph Campbell;Umit Y. Ogras;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Suat Gumussoy

2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
Integrated GPUs have become an indispensable component of mobile processors due to the increasing popularity of graphics applications. The GPU frequency is a key factor both in application throughput and mobile processor power consumption under graphics workloads. Therefore, dynamic power management algorithms have to assess the performance sensitivity to the GPU frequency accurately. Since the im...Show More

Adaptive performance prediction for integrated GPUs

Ujjwal Gupta;Joseph Campbell;Umit Y. Ogras;Raid Ayoub;Michael Kishinevsky;Francesco Paterna;Suat Gumussoy

Year: 2016 | Conference Paper |

Sampling-based explicit nonlinear model predictive control for output tracking

Haotian Zhang;Ankush Chakrabarty;Raid Ayoub;Gregery T. Buzzard;Shreyas Sundaram

2016 IEEE 55th Conference on Decision and Control (CDC)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
In many applications, it is necessary to design controllers that enable the system output to track a time-varying reference signal. In this paper, a low-complexity sampling-based output tracking explicit nonlinear model predictive controller (ENMPC) is proposed for a class of bounded, time-varying reference signals, where only the bounds on the family of admissible reference signals are known to t...Show More

Sampling-based explicit nonlinear model predictive control for output tracking

Haotian Zhang;Ankush Chakrabarty;Raid Ayoub;Gregery T. Buzzard;Shreyas Sundaram

Year: 2016 | Conference Paper |

Sensor selection for optimal filtering of linear dynamical systems: Complexity and approximation

Haotian Zhang;Raid Ayoub;Shreyas Sundaram

2015 54th IEEE Conference on Decision and Control (CDC)
Year: 2015 | Conference Paper |
Cited by: Papers (16)
We consider the problem of selecting an optimal set of sensors to estimate the states of linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of sensors (satisfying certain budget constraints) from a given set in order to minimize the steady state error covariance produced by a Kalman filter. In this paper, we show that this sensor selection problem is NP-hard, e...Show More

Sensor selection for optimal filtering of linear dynamical systems: Complexity and approximation

Haotian Zhang;Raid Ayoub;Shreyas Sundaram

Year: 2015 | Conference Paper |

Optimizing mobile display brightness by leveraging human visual perception

Matthew Schuchhardt;Susmit Jha;Raid Ayoub;Michael Kishinevsky;Gokhan Memik

2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
Modern smartphones and tablets are battery-constrained by their mobility; this constraint is heavily factored into any design decision made on the device. Furthermore, the display is one of the most power-consuming subsystems. Adaptive display brightness systems attempt to address this high display power consumption by setting the brightness depending on the surrounding ambient light levels.Show More

Optimizing mobile display brightness by leveraging human visual perception

Matthew Schuchhardt;Susmit Jha;Raid Ayoub;Michael Kishinevsky;Gokhan Memik

Year: 2015 | Conference Paper |

State estimation for linear systems with unknown inputs: Unknown input norm-observers and BIBOBS stability

Haotian Zhang;Raid Ayoub;Shreyas Sundaram

2015 American Control Conference (ACC)
Year: 2015 | Conference Paper |
We study state estimation of linear systems with unknown inputs. When the system is not strongly observable (strongly detectable), one cannot exactly (asymptotically) reconstruct the states without further information about the system or inputs; in this case, various formulations have been studied that require additional information about the nature of the unknown inputs (e.g., Kalman filtering an...Show More

State estimation for linear systems with unknown inputs: Unknown input norm-observers and BIBOBS stability

Haotian Zhang;Raid Ayoub;Shreyas Sundaram

Year: 2015 | Conference Paper |

A control-theoretic approach for energy efficient CPU-GPU subsystem in mobile platforms

David Kadjo;Raid Ayoub;Michael Kishinevsky;Paul V. Gratz

2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)
Year: 2015 | Conference Paper |
Cited by: Papers (18)
This paper presents a control-theoretic approach to optimize the energy consumption of integrated CPU and GPU subsystems for graphic applications. It achieves this via a dynamic management of the CPU and GPU frequencies. To this end, we first model the interaction between the GPU and CPU as a queuing system. Second, we formulate a Multi-Input-Multi-Output state-space closed loop control to ensure ...Show More

A control-theoretic approach for energy efficient CPU-GPU subsystem in mobile platforms

David Kadjo;Raid Ayoub;Michael Kishinevsky;Paul V. Gratz

Year: 2015 | Conference Paper |

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