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ORCID31st HiPC 2024: Bangalore, India - Workshops
- 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024 - Workshops, Bangalore, India, December 18-21, 2024. IEEE 2024, ISBN 979-8-3315-0911-8
- Sushil Prasad:
HiPC 2024 WORKSHOP 1: 6th Workshop on Education for High Performance Computing (EduHiPC 2024). 1-2 - Srishti Srivastava, Mary L. Smith:
Designing a Card Game for Computer Science Instructors to Evaluate Students' Parallel and Distributed Computing Knowledge. 3-8 - Abubeker Abdurahman, Arihant Singh, Abrar Hossain, Kishwar Ahmed:
A Hands-On Approach to Teaching Parallel and Heterogeneous Computing. 9-16 - Prasun Dewan, Nalin Gaddis:
Leveraging Valgrind to Assess Concurrent, Testing-Unaware C Programs. 17-24 - Rupesh Nasre:
Experience and Learning from an NSM Nodal Center for Training in HPC and AI. 25-31 - Nanditha Rao, Jason Lin:
HiPC 2024 WORKSHOP 2: 1st Workshop on RecOnfigurable Computing and Systems (ROCS 2024). 32 - Basab Bijoy Purkayastha, Shovan Barma
:
Hybrid CPU-FPGA Accelerated Architecture for Hurst Surface Feature Extraction and SVM Classification of ECG Signals. 33-39 - Harshavardhan Reddy Narra, Hemanth Reddy Narra:
Efficient Feature Extraction For Vision Transformer Model Using a Custom CNN Accelerator. 40-45 - Subhasis Banerjee, Pradeep Rao:
HiPC 2024 WORKSHOP 3: 1st Workshop on AI for Scientific and General Purpose Computing (AI-SPC 2024). 46 - Karan Purohit, Mitali Sinha, Ravi S. Nanjundiah:
AI-based Multimodel Superensemble for Improved Weather Prediction. 47-51 - Saritha A N, Basavaraj Talawar:
Object Detection for Autonomous Vehicles in Adverse Weather and Varying Lighting Conditions Using a Hybrid YOLO Approach. 52-57 - Subodh Madhav Joshi, Kaushik Koneripalli, Divyanshu Vyas, Kaushic Kalyanaraman:
SimGraph: A Scalable Physics-Informed Graph Neural Network-Based Smart Proxy for Reservoir Simulation Workflows. 58-62 - Arvapelly Aryan Sai, Sai Vignesh, Sai Hemanth S. V, Pallav Kumar Baruah:
Comparing Accuracy and Consistency: LLMs vs. SOTA Deep Learning Models in Text-to-SQL. 63-67 - Pratham Sahu, Preeti Malakar:
Predictive Modeling of Performance Variability in HPC Applications. 68-71 - Mohan Parthasarathy, Sunita Jain:
HiPC 2024 WORKSHOP 4: 1st Workshop on High Performance Fabrics (FABRICS 2024). 72 - Ramesh Aravind, Groves John:
Study of CXL Memory Sharing with FamFS and its Use cases. 73-77 - V. Evancer Vino John, Mahesh Chaudhari, Yogeshwar Sonawane, Sanjay Wandhekar:
Porting of OpenSM over Trinetra-A Switchless Torus Network. 78-82 - Shridhar Joshi, Sumant Kalra:
Simulation-Driven Design of Large-Scale Systems Architecture. 83-85 - Kirthi Ravindra Kulkarni, Anandhavel Nagendrakumar, Rohit Sehgal, Eishan Mirakhur, Nikesh Agarwal, Chandana Manjula Linganna, Ranjit Gupte:
Performance optimization on CXL products using in-house modeling and simulation toolchain. 85-89 - Ellis Giles, Peter J. Varman:
Towards Continuous Checkpointing for HPC Systems Using CXL. 90-97 - Abhinandan S. Prasad, Konduri Aditya:
HiPC 2024: 16th Student Research Symposium (SRS). 98 - Nilanjana Saha, Amrita Namtirtha, Animesh Dutta:
Hide Mastermind using an Intermediate Connection on Social Network. 99-100 - Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala:
A Cluster-Based Sampler for Fast GNN. 101-102 - Sarthak Joshi, Sathish Vadhiyar:
Combining Checkpoint/Restart and Replication for Fault Tolerance with High Performance. 103-104 - Shruthi Karunakar, Rajshekar Kalayappan:
CaH2: Criticality aware Hybrid L2. 105-106 - Param Gandhi, Ishaan Thakkar, Mahatva Garg, Gargi Alavani Prabhu:
Hybrid Performance Prediction Model for Edge Devices. 107-108 - Twinkle Kumari, Gaurav Baranwal:
Collaborative Vying in Proof of Useful Work. 109-110 - Tanish Desai, Jainam Shah, Gargi Alavani Prabhu:
Keeping GPUs Cool: GPU Temperature Prediction Using LSTM. 111-112 - Sunil Kumar, Vivek Kumar, Sridutt Bhalachandra:
RPM: Reward Power Manager for Power Distribution over a Cluster. 113-114 - Prabuddha Sinha, Krishna Prathik B. V., Shirshendu Das, Venkata Kalyan Tavva:
LiveWay: Dynamic Write Bypassing for Lifetime Enhancement in STT-RAM LLC. 115-116 - Santosh Kumar, Ayan Palchaudhuri:
Exploring Efficient BCD to Binary Conversion Architecture Alternatives on FPGA. 117-118 - Jyoti, Ashutosh Litoriya, Sriram Kailasam:
Improving Parallel Exhaustive Subgroup Discovery with Early Search Space Pruning. 119-120 - Kingshuk Haldar:
Identifying Focus-of-Analysis Regions in MPI-Traces Using Transfer-Efficiency Monitors. 121-122 - Pranjal Walia, Ishan Shanware, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Uma M. Natarajan:
LOSM: Leveraging OpenMP and Shared Memory for Accelerating Blocking MPI Allreduce. 123-124 - Aditya Mundhara, Prajjwal Nijhara, Dip Sankar Banerjee:
Efficient Parallel Algorithms For Exact SimRank Computations. 125-126 - Maulein Pathak, Samarth Kapila, Yogish Sabharwal, Neelima Gupta:
Evaluating the Influence of Graph Characteristics on Parallel Algorithms for Derived Graph Structures. 127-128 - Chaitanya V. Patil, Sathish Vadhiyar, P. N. Vinayachandran:
Balanced and Efficient Distribution of Coarse and Nested Grids in Regional Ocean Modeling System. 129-130 - Amit Sharma, Nitin Auluck:
Dynamic Real-Time Scheduling on Distributed Hierarchical Fog Networks. 131-132 - Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan:
Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows. 133-134 - Khushboo Chaudhari, Shrirang Karandikar, Sneha Thombre:
Performance = Implementation + Hardware + Input Data, with application to SpMV. 135-136 - Dhyan Yajnik, Huzefa Aiyub Ansari, Prajjwal Nijhara, Dip Sankar Banerjee:
SimRank on Data Streams. 137-138 - Aditya Trivedi, Prajjwal Nijhara, Dip Sankar Banerjee:
Fast MIS on Incremental Graphs. 139-140 - Ranjan Bhat, Konduri Aditya:
Building a portable parallel asynchronous PDE solver using Kokkos. 141-142 - Amitesh Singh, Bhakti Dhorajiya, Vishwesh Jatala:
Accelerated Multilevel Graph Partitioning on GPUs. 143-144 - Aswin Kumar A, Nagabhushana Rao Vadlamani, Konduri Aditya:
Asynchrony-Tolerant Schemes to Enhance Scalability of High-Order Compressible Flow Solver. 145-146 - Girish Biswas, Nandini Mukherjee:
A GPU-based Method for Finding Optimal Solution to the Set Covering Problem. 147-148 - Kartik Patel, Virendra Yadav, Uday Karra, Bheemappa Halavar:
Performance Analysis of Weighted Victim Cache Replacement Policy. 149-150 - Karan Nijhawan, Rajendraprasad Saravanan, Subhajit Sahu, Kishore Kothapalli:
EvolvGraph: A Tool for Property-Constrained Generation of Dynamic Graphs †. 151-152 - Pallab Mandal, Swaroop Srisailam, Praveen Pankajakshan, Kumar Rajamani:
A Comparative Study of Spatio-Temporal Segmentation Performance: AWS g4dn.xlarge vs. Google Colab T4 GPU. 153-154 - Naman Kalra, Jaynarayan T. Tudu:
AI-Driven Power Gating for Enhanced Energy Efficiency in Superscalar Processors. 155-156 - Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan:
Towards a Generalized SDK for a Programmable Drones-as-a-Service. 157-158 - Kazuya Adachi, Taisei Matsushima, Naohisa Sakamoto, Jorji Nonaka, Chongke Bi:
Adaptive Threshold Determination for Temporal Sampling during Smart In-Situ Visualization. 159-160 - Vrushank Ahire, Pranav Menon, Aniruddh Muley, Abhinandan S. Prasad:
Random Adaptive Cache Placement Policy. 161-162 - Om Shivam Verma, Preeti Malakar:
Hierarchical Communication Optimization for Distributed DNN Training. 163-164 - Rajasekhar Dasari, Sanjeet Kumar:
HiRTO: High-Reliable Task Offloading Scheme using Markovian Stackelberg Game Theory. 165-166 - Vinayak Kesarwani, Shivangi Gaur, Sudeep Ranjan Sahoo, Kishan Tamboli, Vishwesh Jatala:
A Partitioning Scheme for Large Scale Clique Counting on Single GPU. 167-168 - Yash Phirke, Rajesh Ranjan:
Strategies for efficient GPU acceleration of a high-order 3D LES solver using OpenACC. 169-170 - Shashank Rana, Vimarsh Shah, Aishwarya Jayashankar, Ayush Bhardwaj, Arnab K. Paul:
Understanding Infrastructure Drift in Federated Learning Systems. 171-172 - Pranjal Naman, Yogesh Simmhan:
Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations. 173-174 - Shiva Sai Krishna Anand Tokal, Srinath Perera, Yogesh Simmhan:
Protocol for Trustful Data Consumption from Data Repositories by Workflow Engines. 175-176 - Vijay Dharmaji, Manit Tanwar, Subroto Majumder, M. Mustafa Rafique, Arnab K. Paul:
Towards Pre-Training Data Evaluation for Client Selection in Federated Learning. 177-178 - Tomoya Miyake, Naohisa Sakamoto:
Development of a Visualization Surrogate Model for Time-Varying Numerical Simulations. 179-180 - Mumuksh Tayal, Yogesh Simmhan:
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. 181-182 - Mayank Arya, Yogesh Simmhan:
A Preliminary Performance Analysis of LLM Inference on Edge Accelerators. 183-184 - Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan:
Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. 185-186 - Chirag Modi, Sameer G. Kulkarni:
Kernel Bypass and User-space Network Frameworks for High-Performance Computing Workloads. 187-188 - Aman Gupta, Chirag Modi, Ayushman Singh, Sameer G. Kulkarni:
Energy Efficient Predictive Beamforming and 5G Cell Management using SDN. 189-190 - Durbadal Chattaraj, Srihari K. B, Bansidharee Maji:
Performance Enhancement of Cyber Range through HPC: Issues and Challenges. 191-192 - Dishit Sharma, Prajjwal Nijhara, Dip Sankar Banerjee:
Parallel Katz Centrality On Evolving Graphs. 193-194 - Smit Bagul, Akshat Singh, Surya Prasad S, Pradeep Ramachandran, Rupesh Nasre:
Performance Efficiency of Image Processing Algorithms on GPU using GPU specific languages. 195-196 - Rakshith Jayanth, Neelesh Gupta, Souvik Kundu, Deepak A. Mathaikutty, Viktor K. Prasanna:
Towards Real-Time LLM Inference on Heterogeneous Edge Platforms. 197-198 - Anuradha Kumari Singh, S. Karthikeyan:
Configuration of Neural Network Hyperparameter using Ant Colony Optimization Algorithm. 199-200 - Srihari K. B, Bansidharee Maji, Durbadal Chattaraj:
Utilization of HPC for Designing Modern Cryptographic Protocols: Analysis and Observation. 201-202 - Majina K:
U-Net for Breast Tumor Segmentation. 203-204 - Dixit Dutt Bohra, Dip Sankar Banerjee, Somitra Sanadhya:
Impact of Constraint Modifications on the CRYSTALS-Kyber Hardware Design. 205-206 - Murugappan Venkatachalam, Vijaya Dhaarshini V, Chitra P, Priya Thiagarajan:
Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs. 209-210 - Apoorv Kushwaha, T. J. Dhilip Kumar:
Supervised NN Model for Data Augmentation of 4D PES and Application in Quantum Dynamics. 211-212 - Aastha Chauhan, Nidhi Singh, Subhajit Sidhanta:
Towards Secure Federated Learning: The Impact of Cost-Sensitive Learning on Adversarial Resilience. 213-214 - Maulein Pathak, Yogish Sabharwal, Neelima Gupta:
Spanners in Hypergraphs. 215-216 - Shivam Gautam, Deeksha Goplani, Darshan Patel, Ragesh Hajela, Masahiro Doteguchi, Ikuo Miyoshi, Priyanka Sharma:
Maximizing Multi-Core Efficiency in BLAS: A Scalable Architecture for Performance. 217-218 - Sadhana Rai, Basavaraj Talawar:
History aware interference distance based Page replacement policy for Hybrid Memory. 219-220 - Mitali Sinha, Lalson Vincent, Mudit Sand, Subhasis Banerjee:
FNOPerf: A Robust Empirical Model for Predicting LLM Performance. 221-222 - Parikshit Singh Rathore:
QWID: Quantized Weed Identification Deep neural network. 223-224 - Videet Acharya, Nakul Bhachawat, Kunal Korgaonkar:
Expand-Map-Reduce: A Elementary Framework for Understanding Quantum Algorithms. 225-226
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