Hybrid Cloud & AI
Technological innovations in hybrid cloud and artificial intelligence aim to expand the potential of edge computing and cloud security capabilities across public and private clouds. As the high-performance computing needs of global society ramp up, the ability to access curated data and processing power from multiple distributed data centers and workloads will be paramount.
With an emphasis on data protection and isolation, IBM and Illinois teams will collaborate to explore how open-source innovation and artificial intelligence can drive the next era of cloud computing, and define the essential workforce skills necessary for running increasingly powerful and critical workloads.
Current Research Projects
| Illinois Faculty | IBM Technical Leads | Topics |
|---|---|---|
| Jabbarvand, Reyhaneh | Saurabh Sinha | Advancing Code Translation and Validation Through Neuro-Symbolic Approaches |
| Adve, Vikram; Wang, Yuxiong; | David P. Grove | Sound Code Creation Using Program Synthesis and Language Models |
| Gupta, Indranil; Alagappan, Ramnatthan; Ganesan, Aishwarya; Xu, Tianyin; McHenry, Kenton; Marini, Luigi | Jha, Saurabh; Schwartz, Larisa; Narayanaswami, Chandra; Carlos Costa | HDC: A Full-Stack Solution for the Hybrid Cloud Marrying Data and compute |
| Nagi, Rakesh | Chen Wang | Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling |
| Nahrstedt, Klara; Chen, Deming; Huang, Jian | Tamar Eilam; Eun Lee; Asser Tantawi; Alaa Youssef; Pradip Bose; Nandhini Chandramoorthy; Carlos Costa | Sustainable AI Hybrid Cloud Systems Powered by Renewable Energy and Smart Grid |
| Kale, Laxmikant; Kindratenko, Vlad; Carlos Costa | Claudia Misale; Sara Kokkila-Schumacher; Pedro David Bello-Maldonado | Frameworks for Cloud-based Parallel Applications Supporting Runtime Adaptivity and Resource Elasticity |
| Kalbarczyk, Zbigniew; Iyer, Ravishankar; Basar, Tamer | Chen Wang; Hubertus Franke; Saurabh Jha | SLO-oriented Energy Cost Optimization with Multi-tiered Machine Learning |
| Torrellas, Josep; Xu, Tianyin | Hubertus Franke | High-performance and Energy-efficient Platform Support of Serverless Environments for general purpose and ML Applications |
| Iyer, Ravishankar K. | Chandra Narayanaswami | ResiliANT AIOps: Foundation-model Driven Resilience for Cloud Computing |
| Adve, Sarita; Godfrey, Brighten; Wang, Shenlong | Mudhakar Srivatsa; Pradip Bose | Codesigned Distributed Inference Architectures for Immersive Computing |
| Misailovic, Sasa; Adve, Vikram; | Prasanth Chatarasi; Swagath Venkataramani; Vijayalaksmi Srinivasan | Felix: Gradient-Based Compiler Optimization of Tensor Programs |
| Kim, Nam Sung; Huang, Jian; Mittal, Radhika; | Seetharami Seelam | Holistic Networking, Storage and GPU Management and Acceleration Co-design for AI Training Supercomputers |
| Xu, Tianyin | Hubertus Franke | A Safe and Expressive Infrastructure for OS Kernel Extensions |
| Wang, Gang; Levchenko, Kirill | Gheorghe Almasi; Hubertus Franke | Scalable Continuous Remote Attestation for Multi-Cloud |
| Chen, Deming | Sandhya Koteshwara; Mengmei Ye; Hubertus Franke | Confidential Computing with Heterogenous Accelerators in Hybrid Clouds |
| Chengxiang Zhai, Kevin Chang, Jiawei Han | Larisa Shwartz | Data Understanding Knowledge Discovery and Applications |
| Nancy Amato, Katie Driggs-Campbell, Liangyan Gui, Julia Hockenmaier, Robin Kravets, Marco Morales, Lawrence Rauchwerger, Yuxiong Wang | Dhiraj Joshi | Robots on the (Mobile) Edge and in the Hybrid Cloud |
| Pavan Hanumolu, Elyse Rosenbaum, Jose Schutt-Aine | Dale Becker, Arvind Kumar | Power Delivery for Heterogeneously Integrated AI Systems |