All Stories

  1. WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching

    Article • ACM SIGMETRICS Performance Evaluation Review, July 2026, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  2. WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching

    Article • June 2026, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  3. WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching

    Article • Proceedings of the ACM on Measurement and Analysis of Computing Systems, May 2026, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  4. SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving

    Article • December 2025, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  5. DeepPUFSCA: Deep learning for Physical Unclonable Function attack based on Side Channel Analysis support

    Article • June 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Hans Vandierendonck, ngoc phu doan

  6. Relax and don't Stop: Graph-aware Asynchronous SSSP

    Article • March 2025, ACM (Association for Computing Machinery)

    Marco D'Antonio, Hans Vandierendonck

  7. Exploiting Data Redundancy in CKKS Encoding for High-Speed Homomorphic Encryption

    Article • July 2024, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  8. Differentiating Set Intersections in Maximal Clique Enumeration by Function and Subproblem Size

    Article • May 2024, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  9. Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques

    Article • ACM Computing Surveys, July 2023, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  10. How to design custom floating-point formats and emulate them efficiently on standard hardware

    Article • June 2022, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  11. MASTIFF

    Article • June 2022, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  12. LOTUS

    Article • March 2022, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  13. Exploiting in-Hub Temporal Locality in SpMV-based Graph Processing

    Article • August 2021, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  14. Making Consensus Less Writey to Increase Throughput

    Article • June 2021, ACM (Association for Computing Machinery)

    Hans Vandierendonck, Michael Davis

  15. Graph analytics can be accelerated using processors' vector instructions such as AVX-512

    Article • June 2020, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  16. Online estimation of scalability of multi-threaded programs, with minimal runtime overhead

    Article • ACM Transactions on Architecture and Code Optimization, December 2017, ACM (Association for Computing Machinery)

    Dr Giorgis Georgakoudis, Hans Vandierendonck

  17. A programming model and runtime system for significance-aware energy-efficient computing

    Article • ACM SIGPLAN Notices, December 2015, ACM (Association for Computing Machinery)

    Mr Charalampos Chalios, Christos Antonopoulos, Hans Vandierendonck

  18. A significance-driven programming framework for energy-constrained approximate computing

    Article • May 2015, ACM (Association for Computing Machinery)

    Hans Vandierendonck, Mr Charalampos Chalios

  19. Software-managed energy-efficient hybrid DRAM/NVM main memory

    Article • May 2015, ACM (Association for Computing Machinery)

    Hans Vandierendonck

  20. A programming model and runtime system for significance-aware energy-efficient computing

    Article • January 2015, ACM (Association for Computing Machinery)

    Mr Charalampos Chalios, Christos Antonopoulos, Hans Vandierendonck

  21. Analysis of dependence tracking algorithms for task dataflow execution

    Article • ACM Transactions on Architecture and Code Optimization, December 2013, ACM (Association for Computing Machinery)

    Hans Vandierendonck