IIIT-Delhi Institutional Repository

Browsing by Author "Kumar, Vivek (Advisor)"

Browsing by Author "Kumar, Vivek (Advisor)"

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  • Adaptive concurrency throttling in the exascale era 
    Gupta, Raghav; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...
  • Amoeba : high performance and energy efficient community detection using multicore processors 
    Saini, Hardik; Kumar, Vivek (Advisor); Chakrborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...
  • Cuttlefish library for achieving energy efficiency in multicore parallel programs 
    Gupta, Akshat; Kumar, Sunil; Kumar, Vivek (Advisor); Bhalachandra, Sridutt (Advisor) (IIIT- Delhi, 2021-06)
    A low-cap power budget is challenging for exascale computing. Dynamic Voltage and Frequency Scaling (DVFS) and Uncore Frequency Scaling (UFS) are the two widely used techniques for limiting HPC application's energy footprint. ...
  • Developing a hybrid, manual as well as garbage-collected memory model for java virtual machine 
    Singh, Manavjeet; Kedia, Piyus (Advisor); Kumar, Vivek (Advisor) (IIIT-Delhi, 2021-05)
    Java implements a garbage-collected heap with the inability to deallocate objects manually. This can lead to huge objects sitting in memory for longer than intended. Also, the delayed release memory back to the operating ...
  • Developing a load balancing runtime for running a community detection algorithm over CUDA supported GPUs 
    Bains, Agamdeep; Singh, Aniansh Raj; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    We started the project by trying to implement a community detection algorithm (Permanence Maximization) [2] on Nvidia CUDA capable GPUs. From our initial implementation, we realized that irregular computations such as graph ...
  • High performance and energy optimal parallel programming on CPU and DSP based MPSoC 
    Tiwari, Abhiprayah; Kumar, Vivek (Advisor); Mitra, Gaurav (Advisor) (IIIT-Delhi, 2018-07)
    With energy efficiency becoming a major concern in the HPC community, low-power alternatives such as heterogeneous Multi-Processor System-on-chip (MPSoC) are gainingpopularity. These devices house several different kinds ...
  • Improving energy efficiency of nvidia GPUs 
    Parashar, Varun; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-12-11)
    The project focuses on enhancing the energy efficiency of Nvidia GPUs, crucial for graphics, AI, and high-performance computing. The rising demand for GPUs has led to increased energy consumption, necessitating optimization ...
  • Scientific workflow optimisation 
    Jain, Aakarsh; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-11-29)
    With the constant widespread of computing devices, improving the efficiency of tasks has increasingly significant ramifications towards decreasing the power consumption, and reducing the overall cost toward operation of ...

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