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2020 – today
- 2025
[c82]Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Ji:
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models. AAAI 2025: 1773-1781- [c81]Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham, Ngoc Phu Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Son T. Mai:
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series. AAAI 2025: 20921-20928 - [c80]Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari, Viet-Hung Tran, Anh-Tuan Hoang, Hans Vandierendonck, Son T. Mai:
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting. AAAI 2025: 22741-22749 - [c79]Marco D'Antonio
, Kåre von Geijer, Son Thai Mai, Philippas Tsigas, Hans Vandierendonck:
Relax and don't Stop: Graph-aware Asynchronous SSSP. FCPC@PPOPP 2025: 43-47 - [i14]Mohsen Koohi Esfahani, Hans Vandierendonck:
On Optimizing Locality of Graph Transposition on Modern Architectures. CoRR abs/2501.06872 (2025) - 2024
- [j38]Nil Llisterri Giménez, JunKyu Lee, Felix Freitag, Hans Vandierendonck:
The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study. IEEE Access 12: 5490-5502 (2024) - [c78]Amir Sabbagh Molahosseini, Hans Vandierendonck:
Exploiting Data Redundancy in CKKS Encoding for High-Speed Homomorphic Encryption. AsiaCCS 2024 - [c77]Qasim Abbas, Mohsen Koohi Esfahani, Ian M. Overton, Hans Vandierendonck:
QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique. Euro-Par (3) 2024: 88-102 - [c76]Syed Ibtisam Tauhidi, Arindam Karmakar, Son Thai Mai, Hans Vandierendonck:
OrbitSI: An Orbit-based Algorithm for the Subgraph Isomorphism Search Problem. ICKG 2024: 360-369 - [c75]Hans Vandierendonck:
Differentiating Set Intersections in Maximal Clique Enumeration by Function and Subproblem Size. ICS 2024: 150-163 - [i13]Mohsen Koohi Esfahani, Marco D'Antonio, Syed Ibtisam Tauhidi, Son Thai Mai, Hans Vandierendonck:
Selective Parallel Loading of Large-Scale Compressed Graphs with ParaGrapher. CoRR abs/2404.19735 (2024) - [i12]Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Jin:
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments. CoRR abs/2408.10945 (2024) - [i11]Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-Man Cheung:
Defending against Model Inversion Attacks via Random Erasing. CoRR abs/2409.01062 (2024) - 2023
- [j37]JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck:
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. ACM Comput. Surv. 55(13s): 276:1-276:36 (2023) - [c74]Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. IEEE Big Data 2023: 215-220 - [c73]Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
Dataset Announcement: MS-BioGraphs, Trillion-Scale Public Real-World Sequence Similarity Graphs. IISWC 2023: 193-195 - [c72]Li Xiaolin, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Bo Jin, Barry Cardiff, Deepu John:
Decentralised Biomedical Signal Classification using Early Exits. NEWCAS 2023: 1-2 - [c71]JunKyu Lee, Blesson Varghese, Hans Vandierendonck:
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. WACV 2023: 6394-6403 - [i10]Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
MS-BioGraphs: Sequence Similarity Graph Datasets. CoRR abs/2308.16744 (2023) - 2022
- [j36]Xolani Dastile, Turgay Çelik, Hans Vandierendonck:
Model-Agnostic Counterfactual Explanations in Credit Scoring. IEEE Access 10: 69543-69554 (2022) - [j35]JunKyu Lee, Dimitrios S. Nikolopoulos, Hans Vandierendonck:
Mixed-Precision Kernel Recursive Least Squares. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1284-1298 (2022) - [j34]Umar Ibrahim Minhas, JunKyu Lee, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge. J. Signal Process. Syst. 94(10): 1101-1118 (2022) - [c70]Son T. Mai, Ha T. Phi, Abdullahi Abubakar, Peter Kilpatrick, Hung Q. V. Nguyen, Hans Vandierendonck:
Dengue Fever: From Extreme Climates to Outbreak Prediction. ICDM 2022: 1083-1088 - [c69]Hans Vandierendonck:
Software-defined floating-point number formats and their application to graph processing. ICS 2022: 8:1-8:17 - [c68]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
MASTIFF: structure-aware minimum spanning tree/forest. ICS 2022: 9:1-9:13 - [c67]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
SAPCo Sort: optimizing Degree-Ordering for Power-Law Graphs. ISPASS 2022: 138-140 - [c66]Nil Llisterri Giménez, Felix Freitag, JunKyu Lee, Hans Vandierendonck:
Comparison of Two Microcontroller Boards for On-Device Model Training in a Keyword Spotting Task. MECO 2022: 1-4 - [c65]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
LOTUS: locality optimizing triangle counting. PPoPP 2022: 219-233 - [p1]Amir Sabbagh Molahosseini, Leonel Sousa, Azadeh Alsadat Emrani Zarandi, Hans Vandierendonck:
Low-Precision Floating-Point Formats: From General-Purpose to Application-Specific. Approximate Computing 2022: 77-98 - [i9]JunKyu Lee, Blesson Varghese, Hans Vandierendonck:
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. CoRR abs/2210.16083 (2022) - 2021
- [j33]Mahwish Arif, Hans Vandierendonck:
Reducing the burden of parallel loop schedulers for many-core processors. Concurr. Comput. Pract. Exp. 33(13) (2021) - [j32]Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Revealing DRAM Operating GuardBands Through Workload-Aware Error Predictive Modeling. IEEE Trans. Computers 70(11): 1976-1987 (2021) - [j31]JunKyu Lee, Hans Vandierendonck:
Towards Lower Precision Adaptive Filters: Facts From Backward Error Analysis of RLS. IEEE Trans. Signal Process. 69: 3446-3458 (2021) - [c64]Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck:
Understood in Translation: Transformers for Domain Understanding. SDU@AAAI 2021 - [c63]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
Thrifty Label Propagation: Fast Connected Components for Skewed-Degree Graphs. CLUSTER 2021: 226-237 - [c62]Michael Davis, Hans Vandierendonck:
Achieving Scalable Consensus by Being Less Writey. HPDC 2021: 257-258 - [c61]JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck:
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. ICFEC 2021: 53-60 - [c60]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
Exploiting in-Hub Temporal Locality in SpMV-based Graph Processing. ICPP 2021: 42:1-42:10 - [c59]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
Locality Analysis of Graph Reordering Algorithms. IISWC 2021: 101-112 - [c58]Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck:
How Do Graph Relabeling Algorithms Improve Memory Locality? ISPASS 2021: 84-86 - [c57]Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. SiPS 2021: 205-210 - [i8]JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck:
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. CoRR abs/2105.08668 (2021) - [i7]Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. CoRR abs/2108.12914 (2021) - [i6]JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck:
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. CoRR abs/2112.15131 (2021) - 2020
- [j30]Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Fast load balance parallel graph analytics with an automatic graph data structure selection algorithm. Future Gener. Comput. Syst. 112: 612-623 (2020) - [j29]JunKyu Lee, Gregory D. Peterson, Dimitrios S. Nikolopoulos, Hans Vandierendonck:
AIR: Iterative refinement acceleration using arbitrary dynamic precision. Parallel Comput. 97: 102663 (2020) - [c56]Amir Sabbagh Molahosseini, Hans Vandierendonck:
Half-Precision Floating-Point Formats for PageRank: Opportunities and Challenges. HPEC 2020: 1-7 - [c55]Hans Vandierendonck:
Graptor: efficient pull and push style vectorized graph processing. ICS 2020: 13:1-13:13 - [i5]Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Workload-Aware DRAM Error Prediction using Machine Learning. CoRR abs/2003.12448 (2020) - [i4]Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck:
Understood in Translation, Transformers for Domain Understanding. CoRR abs/2012.10271 (2020)
2010 – 2019
- 2019
- [j28]Ahmad Hassan, Dimitrios S. Nikolopoulos, Hans Vandierendonck:
Fast and Energy-Efficient OLAP Data Management on Hybrid Main Memory Systems. IEEE Trans. Computers 68(11): 1597-1611 (2019) - [j27]Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Hyperqueues: Design and Implementation of Deterministic Concurrent Queues. ACM Trans. Parallel Comput. 6(4): 23:1-23:35 (2019) - [c54]Konstantin Bakanov, Ivor T. A. Spence, Hans Vandierendonck:
Stream-Based Representation and Incremental optimization of Technical Market Indicators. HPCS 2019: 833-841 - [c53]Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Workload-Aware DRAM Error Prediction using Machine Learning. IISWC 2019: 106-118 - [c52]Giorgis Georgakoudis, Ignacio Laguna, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Martin Schulz:
SAFIRE: Scalable and Accurate Fault Injection for Parallel Multithreaded Applications. IPDPS 2019: 890-899 - [c51]Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
VEBO: a vertex- and edge-balanced ordering heuristic to load balance parallel graph processing. PPoPP 2019: 391-392 - 2018
- [j26]JunKyu Lee, Hans Vandierendonck, Mahwish Arif, Gregory D. Peterson, Dimitrios S. Nikolopoulos:
Energy-Efficient Iterative Refinement Using Dynamic Precision. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 722-735 (2018) - [j25]Charalampos Chalios, Giorgis Georgakoudis, Konstantinos Tovletoglou, Georgios Karakonstantis, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
DARE. Int. J. High Perform. Comput. Appl. 32(1): 74-88 (2018) - [c50]Georgios Karakonstantis, Konstantinos Tovletoglou, Lev Mukhanov, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Peter Lawthers, Panos K. Koutsovasilis, Manolis Maroudas, Christos D. Antonopoulos, Christos Kalogirou, Nikolaos Bellas, Spyros Lalis, Srikumar Venugopal, Arnau Prat-Pérez, Alejandro Lampropulos, Marios Kleanthous, Andreas Diavastos, Zacharias Hadjilambrou, Panagiota Nikolaou, Yiannakis Sazeides, Pedro Trancoso, George Papadimitriou, Manolis Kaliorakis, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Shidhartha Das:
An energy-efficient and error-resilient server ecosystem exceeding conservative scaling limits. DATE 2018: 1099-1104 - [c49]Damon Fenacci, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Code and Data Transformations to Address Garbage Collector Performance in Big Data Processing. HiPC 2018: 284-293 - [c48]Bin Wang, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos:
Userspace Hypervisor Data Characterization in Virtualized Environment. ICPADS 2018: 638-645 - [c47]Mahwish Arif, Hans Vandierendonck:
Reducing the burden of parallel loop schedulers for many-core processors. PPoPP 2018: 383-384 - [c46]Christoforos Kachris, Dimitrios Soudris, Stelios Mavridis, Manolis Pavlidakis, Christi Symeonidou, Christos Kozanitis, Angelos Bilas, Damon Fenacci, Sharatchandra Varma Bogaraju, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
The VINEYARD integrated framework for hardware accelerators in the cloud. SAMOS 2018: 236-243 - [i3]Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing. CoRR abs/1806.06576 (2018) - 2017
- [j24]Giorgis Georgakoudis, Hans Vandierendonck, Peter Thoman, Bronis R. de Supinski, Thomas Fahringer, Dimitrios S. Nikolopoulos:
SCALO: Scalability-Aware Parallelism Orchestration for Multi-Threaded Workloads. ACM Trans. Archit. Code Optim. 14(4): 54:1-54:25 (2017) - [c45]Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Accelerating Graph Analytics by Utilising the Memory Locality of Graph Partitioning. ICPP 2017: 181-190 - [c44]Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
GraphGrind: addressing load imbalance of graph partitioning. ICS 2017: 16:1-16:10 - 2016
- [j23]Vassilis Vassiliadis, Charalampos Chalios, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Exploiting Significance of Computations for Energy-Constrained Approximate Computing. Int. J. Parallel Program. 44(5): 1078-1098 (2016) - [c43]Hans Vandierendonck, Karen L. Murphy, Mahwish Arif, Dimitrios S. Nikolopoulos:
HPTA: High-performance text analytics. IEEE BigData 2016: 416-423 - [c42]Mahwish Arif, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Bronis R. de Supinski:
A scalable and composable map-reduce system. IEEE BigData 2016: 2233-2242 - [c41]Hans Vandierendonck, Karen L. Murphy, Mahwish Arif, Jiawen Sun, Dimitrios S. Nikolopoulos:
Operator and Workflow Optimization for High-Performance Analytics. EDBT/ICDT Workshops 2016 - [c40]Giorgis Georgakoudis, Charles Gillan, Ahmad Hassan, Umar Ibrahim Minhas, Ivor T. A. Spence, George Tzenakis, Hans Vandierendonck, Roger F. Woods, Dimitrios S. Nikolopoulos, Murali Shyamsundar, Paul Barber, Matthew Russell, Angelos Bilas, Stelios Kaloutsakis, Heiner Giefers, Peter W. J. Staar, Costas Bekas, Neil Horlock, Richard Faloon, Colin Pattison:
NanoStreams: Codesigned microservers for edge analytics in real time. SAMOS 2016: 180-187 - [c39]Chhaya Trehan, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos:
Brief Announcement: Energy Optimization of Memory Intensive Parallel Workloads. SPAA 2016: 251-252 - [i2]Chhaya Trehan, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos:
Energy Optimization of Memory Intensive Parallel workloads. CoRR abs/1605.04111 (2016) - 2015
- [j22]Hans Vandierendonck, Ahmad Hassan, Dimitrios S. Nikolopoulos:
On the Energy-Efficiency of Byte-Addressable Non-Volatile Memory. IEEE Comput. Archit. Lett. 14(2): 144-147 (2015) - [j21]Philipp Gschwandtner, Charalampos Chalios, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Thomas Fahringer:
On the potential of significance-driven execution for energy-aware HPC. Comput. Sci. Res. Dev. 30(2): 197-206 (2015) - [c38]Ahmad Hassan, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Energy-Efficient Hybrid DRAM/NVM Main Memory. PACT 2015: 492-493 - [c37]Vassilis Vassiliadis, Charalampos Chalios, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
A significance-driven programming framework for energy-constrained approximate computing. Conf. Computing Frontiers 2015: 9:1-9:8 - [c36]Ahmad Hassan, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Software-managed energy-efficient hybrid DRAM/NVM main memory. Conf. Computing Frontiers 2015: 23:1-23:8 - [c35]Ahmad Hassan, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
Energy-Efficient In-Memory Data Stores on Hybrid Memory Hierarchies. DaMoN 2015: 1:1-1:8 - [c34]Mahwish Arif, Hans Vandierendonck:
A Case Study of OpenMP Applied to Map/Reduce-Style Computations. IWOMP 2015: 162-174 - [c33]Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
A programming model and runtime system for significance-aware energy-efficient computing. PPoPP 2015: 275-276 - 2014
- [j20]Dimitrios S. Nikolopoulos, Hans Vandierendonck, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis, Georgios Karakonstantis, Andreas Burg, Uwe Naumann:
Energy Efficiency through Significance-Based Computing. Computer 47(7): 82-85 (2014) - [c32]Konstantin Bakanov, Ivor T. A. Spence, Hans Vandierendonck, Charles J. Gillan:
Rigorous specification and low-latency implementation of technical market indicators. PPAA@PPoPP 2014: 43-52 - [c31]Giorgis Georgakoudis, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Spyros Lalis:
Fast Dynamic Binary Rewriting for flexible thread migration on shared-ISA heterogeneous MPSoCs. ICSAMOS 2014: 156-163 - [i1]Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing. CoRR abs/1412.5150 (2014) - 2013
- [j19]Hans Vandierendonck, George Tzenakis, Dimitrios S. Nikolopoulos:
Analysis of dependence tracking algorithms for task dataflow execution. ACM Trans. Archit. Code Optim. 10(4): 61:1-61:24 (2013) - [c30]George Tzenakis, Angelos Papatriantafyllou, Hans Vandierendonck, Polyvios Pratikakis, Dimitrios S. Nikolopoulos:
BDDT: Block-Level Dynamic Dependence Analysis for Task-Based Parallelism. APPT 2013: 17-31 - [c29]Hans Vandierendonck, Kallia Chronaki, Dimitrios S. Nikolopoulos:
Deterministic scale-free pipeline parallelism with hyperqueues. SC 2013: 32:1-32:12 - 2012
- [j18]Hans Vandierendonck, Tom Mens:
Techniques and Tools for Parallelizing Software. IEEE Softw. 29(2): 22-25 (2012) - [c28]George Tzenakis, Angelos Papatriantafyllou, John Kesapides, Polyvios Pratikakis, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
BDDT: : block-level dynamic dependence analysis for deterministic task-based parallelism. PPoPP 2012: 301-302 - 2011
- [j17]Hans Vandierendonck, André Seznec:
Fairness Metrics for Multi-Threaded Processors. IEEE Comput. Archit. Lett. 10(1): 4-7 (2011) - [j16]Hans Vandierendonck, Tom Mens:
Averting the Next Software Crisis. Computer 44(4): 88-90 (2011) - [j15]Hans Vandierendonck, André Seznec:
Managing SMT resource usage through speculative instruction window weighting. ACM Trans. Archit. Code Optim. 8(3): 12:1-12:20 (2011) - [c27]Hans Vandierendonck, George Tzenakis, Dimitrios S. Nikolopoulos:
A Unified Scheduler for Recursive and Task Dataflow Parallelism. PACT 2011: 1-11 - [c26]Hans Vandierendonck, Polyvios Pratikakis, Dimitrios S. Nikolopoulos:
Parallel Programming of General-Purpose Programs Using Task-Based Programming Models. HotPar 2011 - [c25]Polyvios Pratikakis, Hans Vandierendonck, Spyros Lyberis, Dimitrios S. Nikolopoulos:
A programming model for deterministic task parallelism. MSPC 2011: 7-12 - 2010
- [j14]Hans Vandierendonck, Sean Rul, Koen De Bosschere:
Accelerating Multiple Sequence Alignment with the Cell BE Processor. Comput. J. 53(6): 814-826 (2010) - [j13]Sean Rul, Hans Vandierendonck, Koen De Bosschere:
A profile-based tool for finding pipeline parallelism in sequential programs. Parallel Comput. 36(9): 531-551 (2010) - [c24]Hans Vandierendonck, Sean Rul, Koen De Bosschere:
The Paralax infrastructure: automatic parallelization with a helping hand. PACT 2010: 389-400 - [c23]Bertrand Rousseau, Philippe Manet, Igor Loiselle, Jean-Didier Legat, Hans Vandierendonck:
A methodology for precise comparisons of processor core architectures for homogeneous many-core DSP platforms. DASIP 2010: 273-280 - [c22]Hans Vandierendonck, Koen De Bosschere:
Implicit hints: Embedding hint bits in programs without ISA changes. ICCD 2010: 364-369
2000 – 2009
- 2009
- [j12]Hans Vandierendonck, André Seznec:
Fetch Gating Control through Speculative Instruction Window Weighting. Trans. High Perform. Embed. Archit. Compil. 2: 128-148 (2009) - [c21]Sean Rul, Hans Vandierendonck, Koen De Bosschere:
Towards automatic program partitioning. Conf. Computing Frontiers 2009: 89-98 - 2008
- [j11]Hans Vandierendonck, Veerle Desmet, Koen De Bosschere:
Behavior-Based Branch Prediction by Dynamically Clustering Branch Instructions. J. Inf. Sci. Eng. 24(3): 919-931 (2008) - [j10]Hans Vandierendonck, André Seznec:
Speculative return address stack management revisited. ACM Trans. Archit. Code Optim. 5(3): 15:1-15:20 (2008) - [c20]Hans Vandierendonck, Koen De Bosschere:
Constructing Optimal XOR-Functions to Minimize Cache Conflict Misses. ARCS 2008: 261-272 - [c19]Hans Vandierendonck, Sean Rul, Michiel Questier, Koen De Bosschere:
Experiences with Parallelizing a Bio-informatics Program on the Cell BE. HiPEAC 2008: 161-175 - [c18]Sean Rul, Hans Vandierendonck, Koen De Bosschere:
Extracting coarse-grain parallelism in general-purpose programs. PPoPP 2008: 281-282 - 2007
- [j9]Veerle Desmet, Hans Vandierendonck, Koen De Bosschere:
Clustered indexing for branch predictors. Microprocess. Microsystems 31(3): 168-177 (2007) - [j8]Sean Rul, Hans Vandierendonck, Koen De Bosschere:
Function level parallelism driven by data dependencies. SIGARCH Comput. Archit. News 35(1): 55-62 (2007) - [c17]Hans Vandierendonck, Philippe Manet, Thibault Delavallee, Igor Loiselle, Jean-Didier Legat:
By-passing the out-of-order execution pipeline to increase energy-efficiency. Conf. Computing Frontiers 2007: 97-104 - [c16]Hans Vandierendonck, André Seznec:
Fetch Gating Control Through Speculative Instruction Window Weighting. HiPEAC 2007: 120-135 - 2006
- [c15]Hans Vandierendonck, Philippe Manet, Jean-Didier Legat:
Application-specific reconfigurable XOR-indexing to eliminate cache conflict misses. DATE 2006: 357-362 - [c14]Joshua J. Yi, Hans Vandierendonck, Lieven Eeckhout, David J. Lilja:
The exigency of benchmark and compiler drift: designing tomorrow's processors with yesterday's tools. ICS 2006: 75-86 - [c13]Hans Vandierendonck, Koen De Bosschere:
On the Impact of OS and Linker Effects on Level-2 Cache Performance. MASCOTS 2006: 87-95 - [c12]Hans Vandierendonck, Pedro Trancoso:
Building and Validating a Reduced TPC-H Benchmark. MASCOTS 2006: 383-392 - 2005
- [j7]Veerle Desmet, Hans Vandierendonck, Koen De Bosschere:
2FAR: A 2bcgskew Predictor Fused by an Alloyed Redundant History Skewed Perceptron Branch Predictor. J. Instr. Level Parallelism 7 (2005) - [j6]Hans Vandierendonck, Koenraad De Bosschere:
XOR-Based Hash Functions. IEEE Trans. Computers 54(7): 800-812 (2005) - [c11]Pedro Trancoso, Christodoulos Adamou, Hans Vandierendonck:
Reducing TPC-H Benchmarking Time. Panhellenic Conference on Informatics 2005: 641-650 - 2004
- [j5]Hans Vandierendonck, Koen De Bosschere:
On Generating Set Index Functions for Randomized Caches. Comput. J. 47(2): 245-258 (2004) - [c10]Hans Vandierendonck, Koen De Bosschere:
Eccentric and fragile benchmarks. ISPASS 2004: 2-11 - 2003
- [j4]Lieven Eeckhout, Hans Vandierendonck, Koenraad De Bosschere:
Designing Computer Architecture Research Workloads. Computer 36(2): 65-71 (2003) - [j3]Lieven Eeckhout, Hans Vandierendonck, Koenraad De Bosschere:
Quantifying the Impact of Input Data Sets on Program Behavior and its Applications. J. Instr. Level Parallelism 5 (2003) - [j2]Hans Vandierendonck, Koen De Bosschere:
Highly accurate and efficient evaluation of randomising set index functions. J. Syst. Archit. 48(13-15): 429-452 (2003) - [c9]Hans Vandierendonck, Hans Logie, Koenraad De Bosschere:
Trace Substitution. Euro-Par 2003: 556-565 - [c8]Bjorn De Sutter, Hans Vandierendonck, Bruno De Bus, Koenraad De Bosschere:
On the side-effects of code abstraction. LCTES 2003: 244-253 - [c7]Hans Vandierendonck, Koenraad De Bosschere:
Trade-offs for Skewed-Associative Caches. PARCO 2003: 465-474 - 2002
- [j1]Hans Vandierendonck, Koenraad De Bosschere:
An Address Transformation Combining Block- and Word-Interleaving. IEEE Comput. Archit. Lett. 1 (2002) - [c6]Lieven Eeckhout, Hans Vandierendonck, Koenraad De Bosschere:
Workload Design: Selecting Representative Program-Input Pairs. IEEE PACT 2002: 83-94 - [c5]Hans Vandierendonck, Alex Ramírez, Koenraad De Bosschere, Mateo Valero:
A Comparative Study of Redundancy in Trace Caches (Research Note). Euro-Par 2002: 512-516 - 2001
- [c4]Bart Goeman, Hans Vandierendonck, Koenraad De Bosschere:
Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency. HPCA 2001: 207-216 - [c3]Hans Vandierendonck, Koen De Bosschere:
Efficient profile-based evaluation of randomising set index functions for cache memories. ISPASS 2001: 120-127 - 2000
- [c2]Henk Neefs, Hans Vandierendonck, Koenraad De Bosschere:
A Technique for High Bandwidth and Deterministic Low Latency Load/Store Accesses to Multiple Cache Banks. HPCA 2000: 313-324 - [c1]Hans Vandierendonck, Koenraad De Bosschere:
A Comparison of Locality-Based and Recency-Based Replacement Policies. ISHPC 2000: 310-318
Coauthor Index
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