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2020 – today
- 2025
- [c81]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 - [c80]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 - [c79]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 - [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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