Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards

Autor: Muralidhar, Rajeev, Borovica-Gajic, Renata, Buyya, Rajkumar

Computing systems have undergone several inflexion points - while Moore's law guided the semiconductor industry to cram more and more transistors and logic into the same volume, the limits of instruction-level parallelism (ILP) and the end of Dennard

Externí odkaz: http://arxiv.org/abs/2007.09976

A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)

Autor: Ilager, Shashikant, Muralidhar, Rajeev, Rammohanrao, Kotagiri, Buyya, Rajkumar

Modern computing paradigms, such as cloud computing, are increasingly adopting GPUs to boost their computing capabilities primarily due to the heterogeneous nature of AI/ML/deep learning workloads. However, the energy consumption of GPUs is a critica

Externí odkaz: http://arxiv.org/abs/2004.08177

On a rewriting strategy for dynamically managing power constraints and power dissipation in SoCs.

Autor: Viswanath, Vinod, Muralidhar, Rajeev, Seshadri, Harinarayanan, Abraham, Jacob A.

Publikováno v: International Symposium on Quality Electronic Design (ISQED); 2013, p128-134, 7p

A distributed object infrastructure for interaction and steering.

Autor: Muralidhar, Rajeev, Parashar, Manish

Publikováno v: Concurrency & Computation: Practice & Experience; Aug2003, Vol. 15 Issue 10, p957-977, 21p, 1 Color Photograph, 7 Diagrams, 1 Chart, 5 Graphs

Distributed Control Plane Architecture for Network Elements.

Autor: Deval, Manasi¹, Khosravi, Hormuzd¹, Muralidhar, Rajeev¹, Ahmed, Suhail¹, Bakshi, Sanjay¹, Yavatkar, Raj²

Publikováno v: Intel Technology Journal. Nov2003, Vol. 7 Issue 4, p51-63. 13p.