Posters

The following posters have been accepted for presentation at CASCON 2024:

  • 2JITsu: A Comparative Analysis of JAX and Pytorch across Modern Machine Learning Workloads
    Ayrton Chilibeck, Danila Seliayeu, Jose Nelson Amaral and Andy Patterson
  • A blockchain based hybrid access control for industrial internet of things using blockchain
    Muhammad Shahzad Sarfraz and Muhammad Usman
  • A Functional Event-Driven Framework for Simplified Concurrent Applications
    Christopher Schankula, Christopher Anand and Spencer Smith
  • A Multi-Table Approach to Floating-Point Function Approximation
    Lucas Dutton, Christopher K. Anand, Robert Enenkel and Silvia Melitta Mülleratt
  • A multi-tier federated learning approach to pre-impact fall detection using wearable devices
    Seyed Alireza Rahimi Azghadi, Hung Truong Thanh Nguyen, René Richard, Hélène Fournier, Francis Palma and Hung Cao
  • A Study on future emerging technologies and trend detection algorithms using patent big data and AI
    Minki Kim
  • Addressing Noise in Multiple Instance Learning
    Ahmed Al Dallal, James Miller and Shaikh Quader
  • AI Assistants for Incident Lifecycle in a Microservice Environment: An Empirical Review
    Dahlia Ziqi Zhou and Marios Fokaefs
  • AI-Assisted Pipeline for Cytometry of Reaction Rate Constant
    Shai Ginsburg, Patil Korkeen, Jessica Latimer, Vasilij Koshkin, Vadim Elisseev and Sergey Krylov
  • An Energy-Efficient Long-Range IoT-Based Water Monitoring System: Challenges and Use Cases
    Seyed Alireza Rahimi Azghadi, Kamyab Aghajamali, Francis Palma and Hung Cao
  • An Improved MicroJIT for Templated Compilation in OpenJ9
    Harpreet Kaur, Scott Young, Kenneth Kent and Marius Pirvu
  • Automated Configuration Parameter Tuning in Distributed Messaging Systems
    Emmanuel Etti, Md. Monzurul Amin Ifath and Israat Haque
  • Automated Detection of Anomalous Patterns in Time Series Logs Using Silhouette Scores
    Wejdene Haouari and Marios Fokaefs
  • Bringing Profile Guided Binary Layout Optimization to the IBM AIX Platform
    Dhanrajbir Singh Hira and J. Nelson Amaral
  • Cloud-Boosted JIT: Towards Enhancing Compilation Decision-Making in Containerized Environments
    Ryan Liu, Shreya Shinde, Abhith Krishna, Ladan Tahvildari, Mark Stoodley, Vijay Sundaresan and Marius Pirvu
  • Db2une: Tuning Under Pressure via Deep Learning
    Alexander Bianchi, Andrew Chai, Vincent Corvinelli, Parke Godfrey, Jarek Szlichta and Calisto Zuzarte
  • DMBench: Load Testing and Benchmarking Tool for Data Migration
    Fares Hamouda, Marios Fokaefs and Dariusz Jania
  • DMML: A Machine-learning Performance Model for Data Migration
    Hasti Ghaneshirazi, Marios Fokaefs, Fares Hamouda, Wejdene Haouari and Dariusz Jania
  • Edge-based Application for On-device COVID-19 Test interpretation
    Shreya Vaghani and Marios Fokaeks
  • Enhancing Epidemiological Analysis through Data Provenance
    Sarina Hamedani and Michalis Famelis
  • Evaluating retrieval-augmented generation (RAG) results
    Sarah Packowski, Jenifer Schlotfeldt and Inge Halilovic
  • Exploring Workforce Needs in Korea's Secondary Battery Industry: Insights and Implications for Talent Development
    Junwoo Yu
  • FADE: Focused and Attention-Based Detector of Errors
    Omar Al-Shamali, James Miller and Shaikh Quader
  • GreenStream: Enabling Sustainable LLM Inference in Stream Processing
    Md. Monzurul Amin Ifath and Israat Haque
  • Identifying and Classifying the Centre of Interests of Non-Verbal Autistic Children in Cartoon Videos
    Roya Moeini and Sylvie Ratté
  • Inspiring AI-Infused Innovations in Adoptium AQAvit and Openj9
    Gias Uddin, Afif Mamun, Longyu Zhang and Lan Xia
  • Mixture of Shared Experts
    Danila Seliayeu, Quinn Pham, Prasanth Chatarasi and José Nelson Amaral
  • Modelling Performance and Energy Efficiency of AI and HPC Workloads in Heterogeneous Environments
    Vadim Elisseev, Edward Taylor, Mark Birmingham and James Sexton
  • Online Classification with Reordering Data Migration Framework
    Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu and Dariusz Jania
  • On-premise z/OS to IBM Cloud: A reference architecture
    Sanjay Ghanathey
  • OOPredictor: Predicting Object-Oriented Accesses using Static Analysis
    Hassan Arafat, David Bremner, Kenneth Kent and Julian Wang
  • Optimizing knowledge base content for retrieval-augmented generation (RAG)
    Inge Halilovic, Sarah Packowski and Jenifer Schlotfeldt
  • Performance Assessment of AI Inference in Edge Devices
    Ghazal Sobhani, Tushar Sharma and Israat Haque
  • Privacy and Security in Distributed Graph Analytics
    Bin Guo and Emil Sekerinski
  • Proximity-DRL: A GPU Job Allocator Using Deep Reinforcement Learning
    Junjie Deng, Aijun An, Hajer Ayadi, Yiming Shao, Hossein Pourmodheji, Hao Zhou and Michael Feiman
  • Rapid prototyping of natural language interfaces
    Sarah Packowski, Ashley Zhao, Kelly Xiang and Sara Elsharawy
  • RISC-V Analyzer: verify assembly code compliance to register and procedure calling conventions.
    Rajan Maghera, Nathan Ulmer and J. Nelson Amaral
  • Syntactic and Semantic Analysis of APIs to Assess and Compare their Linguistic Design Quality
    Krishno Dey, Hung Cao and Francis Palma
  • Towards Energy-Efficient CUDA Kernels: A Predictive
    Saurabhsingh Rajput, Alexander Brandt and Tushar Sharma
  • Towards Rapid Design of Compartmental Models Modeling Approach
    Zahra Fiyouzisabah, Jessie Galasso, Marios-Eleftherios Fokaefs and Michalis Famelis
  • Triton vs. Halide: Exploring Coupled and Decoupled Machine-Learning Kernel Languages
    Quinn Pham, Danila Seliayeu, Prasanth Chatarasi and José Nelson Amaral