4 papers
Efficient and Portable Support for Overdecomposition on Distributed Memory GPGPU Platforms
Aditya Bhosale, Anant Jain, Shourya Goel +3
Overdecomposition has emerged as a powerful and sometimes essential technique in parallel programming. Many application domains or frameworks, including those based on adaptive mes…
Towards an Adaptive Runtime System for Cloud-Native HPC
Aditya Bhosale, Advait Tahilyani, Laxmikant Kale +1
The ongoing convergence of HPC and cloud computing presents a fundamental challenge: HPC applications, designed for static and homogeneous supercomputers, are ill-suited for the dy…
An Adaptive Distributed Stencil Abstraction for GPUs
Aditya Bhosale, Laxmikant Kale
The scientific computing ecosystem in Python is largely confined to single-node parallelism, creating a gap between high-level prototyping in NumPy and high-performance execution o…
An Elastic Job Scheduler for HPC Applications on the Cloud
Aditya Bhosale, Kavitha Chandrasekar, Laxmikant Kale +1
The last few years have seen an increase in adoption of the cloud for running HPC applications. The pay-as-you-go cost model of these cloud resources has necessitated the developme…