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Wednesday, Dec 18, 2024 – Day 1

Workshops:

EduHiPC, ROCS, AI-SPC, Fabrics 

Student Research Symposium

Exhibit Setup (18:00 Onwards)

Thursday, Dec 19, 2024 – Day 2

HiPC 2024 Inauguration and Opening Remarks (8:30-9:00)

Keynote Address: (9:00-10:00)

Dhabaleswar K. (DK) Panda, Distinguished Professor of Engineering, Computer Science and Engineering, The Ohio State University, USA

Title: Designing High-Performance and Scalable Middleware for the Modern HPC and AI Era

Session Chair: Devesh Tiwari, Northeastern University

Technical Session 1 (10:20 – 12:00)

Session Chair: Francois Tessier, INRIA

1. ‘Scheduling Strategies for HPC Batch Scheduler with Disaggregated Memory,’ 

Bozennnec Robin, Fanny Dufoss, Danilo Carastan dos Santos, and Guillaume Pallez (INRIA) 

2. ‘HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach,’ 

Abrar Hossain (The University of Toledo), Abdel-Hameed Badawy (New Mexico State University), Mohammad A. Islam (University of Texas at Arlington), Tapasya Patki (Lawrence Livermore National Laboratory), and Kishwar Ahmed (The University of Toledo)

3. ‘Efficient Offloading Designs for One-Sided Communication to SmartNICs,’ 

Benjamin Michalowicz, Kaushik Kandadi Suresh, and Hari Subramoni (Ohio State University); Mustafa Abduljabbar (The Ohio State University); Dhabaleswar K. Panda (Ohio State University); and Steve Poole (Los Alamos National Laboratory)

4. ‘Retrospection on the Performance Analysis Tools for Large-Scale HPC Programs,’ 

Zhibo Xuan, Xin You, and Hailong Yang (Beihang Univiersity); Mingzhen Li (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); and Zhongzhi Luan, Yi Liu, and Depei Qian (Beihang Univiersity)

5. ‘BigThrill: MPI-based Engine and Its Applications,’

Anastasia Khartikova (Huawei Russian Research Institute); Denis Shaikhislamov (Huawei Russian Research Institute, Lomonosov Moscow State University); Ilya Timokhin (Huawei Russian Research Institute, HSE University); Roman Kostromin (Huawei Russian Research Institute, ISDCT SB RAS); Vladislav Muratov and Aleksey Demakov (Huawei Russian Research Institute); Maxim Belov (Huawei Russian Research Institute, MIPT); and Aleksey Teplov (Huawei Russian Research Institute, T-Bank RnD)

Sponsor Lightning Talks (12:00 – 12:30)

Technical Session 2 (13:45 – 15:30)

Session Chair: Dip Sankar Banerjee, IIT Jodhpur

1. ‘Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning,’ 

Lang Xu, Quentin Anthony, Jacob Hatef, Aamir Shafi, Hari Subramoni, and Dhabaleswar K. (DK) Panda (The Ohio State University)

2. ‘Advanced medical data processing with Transformer based Self-Supervised imputation and Self-Attention GANs driven oversampling,’ 

Aryan Kumar Singh, Arpit Saikia, Pranita Baro, and Malaya Dutta Borah (National Institute of Technology Silchar)

3. ‘Exploring Algorithmic Design Choices for Low Latency CNN Deployment,’ 

Changxin Li and Sanmukh Kuppannagari (Case Western Reserve University)

4. ‘CAR LLM: Cloud Accelerator Recommender for LLMs,’ 

Ashwin Krishnan, Venkatesh Pasumarti, Samarth Inamdar, Arghyajoy Mondal, Manoj Nambiar, and Rekha Singhal (TCS Research)

5. ‘HyperSack: Distributed Hyperparameter Optimization for Deep Learning using Resource-Aware Scheduling on Heterogeneous GPU Systems,’ 

Nawras Alnaasan, Bharath Ramesh, Jinghan Yao, Aamir Shafi, Hari Subramoni, and Dhabaleswar K. Panda (The Ohio State University)

Industry, Research, and User Symposium Program (13:30 – 15:30) 

Gold Sponsor Talks (16:00-18:30)

Student Research Symposium Activities (10:00-19:30)

Industrial Exhibits (10:00-18:30)

Friday, Dec 20, 2024 – Day 3

Keynote Address: (9:00-10:00)

Valerie E. Taylor, Division Director/ Argonne Distinguished Fellow, Mathematics and Computer Science Division, Argonne National Laboratory, USA

Title: Utilizing LLMs for Parallel Scientific Code Generation and Translation

Session Chair: Devesh Tiwari, Northeastern University

Technical Session 3 (10:20 – 12:00)

Session Chair: Rahulkumar Gayatri, Lawrence Berkeley National Laboratory

1. ‘GDBOD: Density-Based Outlier Detection Exploiting Efficient Tree Traversals on the GPU,’ 

Revanth Reddy Munugala and Michael Gowanlock (Northern Arizona University)

2. ‘Design and Implementation of Kernel-based MPI Reduction Operations for Intel GPUs,’ 

Chen-Chun Chen, Goutham Kalikrishna Reddy Kuncham, Hari Subramoni, and Dhabaleswar K. Panda (The Ohio State University)

3. ‘Multi-Space Tree with Incremental Construction for GPU-Accelerated Range Queries,’ 

Brian Donnelly and Michael Gowanlock (Northern Arizona University)

4. ‘A More Scalable Sparse Dynamic Data Exchange,’ 

Andrew Geyko, Gerald Collom, Derek Schafer, Patrick Bridges, and Amanda Bienz (University of New Mexico)

5. ‘Using BlueField-3 SmartNICs to Offload Vector Operations in Krylov Subspace Methods,’ Kaushik Kandadi Suresh, Benjamin Michalowicz, Nick Contini, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, and Dhabaleswar Panda (The Ohio State University)

Industry, Research, and User Symposium Program (13:00 – 15:00)

Industrial Keynotes (13:15 – 15:00)

Conference Poster Lightning Talks (15:30 – 18:30)

Conference Poster Display Session (18:30 – )

Student Research Symposium Activities (10:00-19:30)

Industrial Exhibits (10:00-18:30)

Saturday, Dec 21, 2024 – Day 4

Keynote Address: (9:00-10:00)

Priyanka Raina, Assistant Professor, Electrical Engineering, Stanford University, USA

Title: Agile Design of Domain-Specific Hardware Accelerators and Compiler

Session Chair: Preeti Malakar, Indian Institute of Technology Kanpur

Technical Session 4 (10:20 – 12:00)

Session Chair: Konduri Aditya, IISc Bangalore

1. ‘Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow,’ 

Bo Zhang and Philip E. Davis (Scientific Computing and Imaging Institute, University of Utah); Zhao Zhang (Rutgers University); Keita Teranishi (Oak Ridge National Laboratory); and Manish Parashar (Scientific Computing and Imaging Institute, University of Utah)

2. ‘Circuit Partitioning and Full Circuit Execution: A Comparative Study of GPU-Based Quantum Circuit Simulation,’ 

Kartikey Sarode (San Francisco State University)

3. ‘From Bits to Qubits: Challenges in Classical-Quantum Integration,’

Sudhanshu Kulkarni (San Francisco State University) and E. Wes Bethel (San Francisco State University, Lawrence Berkeley National Laboratory)

4. ‘Mini-Combust – an Open-Source Unstructured FGM Combustion Mini-app for Co-Designing Aero-Engines at Extreme Scale,’ 

Samuel Curtis (University of Warwick); Harry Waugh (University of Bristol, Nvidia); Tom Deakin (University of Bristol); and Gihan Mudalige (University of Warwick)

5. ‘Training Photonic Mach Zehnder Meshes for Neural Network Acceleration,’ 

Andy Wolff and Avinash Karanth (Ohio University)

Industry, Research, and User Symposium Program (10:30 – 15:00)

Technical Session 5 – Distinguished Paper Award Nominees (13:00 – 15:00)

Session Chair: Badrinath Ramamurthy, IIIT Bangalore

1. ‘ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems,’ 

Yiheng Xu (Palantir Technologies, Inc.); Pranav Sivaraman (University of Maryland); Hariharan Devarajan and Kathryn Mohror (Lawrence Livermore National Laboratory); and Abhinav Bhatele (University of Maryland)

2. ‘Simulation of Large-Scale HPC Storage Systems: Challenges and Techniques,’ 

Julien Monniot and Francois Tessier (INRIA), Henri Casanova (University of Hawai’i), and Gabriel Antoniu (INRIA)

3. ‘Graph Sampling Quality Prediction for Algorithm Recommendation,’ 

Haleh Dizaji and Reza Farahani (University of Klagenfurt), Joze M. Rozanec (Jozef Stefan Institute), Ahmet Soylu (Oslo Metropolitan University), and Dragi Kimovski and Radu Prodan (University of Klagenfurt)

4. ‘Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum,’ 

Cdric Prigent (Inria); Melvin Chelli and Ren Schubotz (DFKI); Alexandru Costan (IRISA, INSA Rennes); Gabriel Antoniu (Inria); and Loc Cudennec (DGA)

5. ‘When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning,’ 

Advik Raj Basani, Siddharth Chaitra Vivek, Advaith Krishna, and Arnab K. Paul (BITS Pilani, KK Birla Goa Campus, India)

6. ‘Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications,’ 

Rahulkumar Gayatri (Lawrence Berkeley National Laboratory), Shilei Tian (Stony Brook University), Stephen Olivier (Sandia National Laboratories), Johannes Doerfert (Lawrence Livermore National Lab), and Eric Wright (University of Delaware)

SRS Poster Lightning Talks (15:30 – 18:00)

SRS Poster Display Session (18:00 – 20:00 )

Industrial Exhibits (10:00 – 16:00)

Closing and Awards Ceremony, Banquet Talk, Banquet (20:00-22:00)

Student Research Symposium Activities (10:00-20:00)