Alok Mishra - RankMe

14 papers A 1B 2Journal 4Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	OASIS: Optimal Allocation Strategy for Inference Services in Cloud Environments. ICPE Companion Viyom Mittal, Mohammed Baydoun, Alok Mishra, Pavana Prakash, Gourav Rattihalli, Aditya Dhakal, Eitan Frachtenberg, Izzat El Hajj, Michalis Faloutsos, Dejan S. Milojicic
2025	B	`conf`	HeteroBench: Multi-kernel Benchmarks for Heterogeneous Systems. ICPE Hongzheng Tian, Alok Mishra, Zhiheng Chen, Rolando P. Hong Enriquez, Dejan S. Milojicic, Eitan Frachtenberg, Sitao Huang
2024	—	`conf`	Granularity- and Interference-Aware GPU Sharing with MPS. SC Workshops Alex Weaver, Krishna Kavi, Dejan S. Milojicic, Rolando Pablo Hong Enriquez, Ninad Hogade, Alok Mishra, Gayatri Mehta
2024	—	`conf`	ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. IPDPS (Workshops) Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari
2024	J	`jnl`	Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. Computer Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli
2024	J	`jnl`	Quantum optimization algorithms: Energetic implications. Concurr. Comput. Pract. Exp. Rolando P. Hong Enriquez, Rosa M. Badia, Barbara M. Chapman, Kirk Bresniker, Scott Pakin, Alok Mishra, Pedro Bruel, Aditya Dhakal, Gourav Rattihalli, Ninad Hogade, Eitan Frachtenberg, Dejan S. Milojicic
2023	B	`conf`	Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. CLOUD Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic
2023	J	`jnl`	OpenMP Advisor. CoRR Alok Mishra, Abid M. Malik, Meifeng Lin, Barbara M. Chapman
2023	—	`conf`	OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures. IWOMP Alok Mishra, Abid Muslim Malik, Meifeng Lin, Barbara M. Chapman
2023	J	`jnl`	ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. CoRR Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari
2022	—	`conf`	COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading. IPDPS Workshops Alok Mishra, Smeet Chheda, Carlos Soto, Abid Muslim Malik, Meifeng Lin, Barbara M. Chapman
2020	—	`conf`	Data Transfer and Reuse Analysis Tool for GPU-Offloading Using OpenMP. IWOMP Alok Mishra, Abid Muslim Malik, Barbara M. Chapman
2019	A	`conf`	Kernel Fusion/Decomposition for Automatic GPU-Offloading. CGO Alok Mishra, Martin Kong, Barbara M. Chapman
2017	—	`conf`	Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading. LLVM-HPC@SC Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman