Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1V. Garcia Pinto.

    Performance Analysis Strategies for Task-based Applications on Hybrid Platforms, Universidade Federal do Rio Grande do Sul - UFRGS ; UGA - Université Grenoble Alpes, October 2018.

  • 2R. Keller Tesser.

    A Simulation Workflow to Evaluate the Performance of Dynamic Load Balancing with Over-decomposition for Iterative Parallel Applications, Universidade Federal Do Rio Grande Do Sul, April 2018.

  • 3B. Vinot.

    Design of a distributed information system for the control of flexibilities in a power distribution network: modelling, simulation and implementation, UGA - Université Grenoble Alpes ; MSTII, June 2018.


Articles in International Peer-Reviewed Journals

  • 4A. Benegiamo, P. Loiseau, G. Neglia.

    Dissecting demand response mechanisms: The role of consumption forecasts and personalized offers, in: Sustainable Energy, Grids and Networks, December 2018, vol. 16, pp. 156-166. [ DOI : 10.1016/j.segan.2018.07.005 ]

  • 5S. Durand, F. Garin, B. Gaujal.

    Distributed best response dynamics with high playing rates in potential games, in: Performance Evaluation, October 2018, vol. 129, pp. 40-59. [ DOI : 10.1016/j.peva.2018.09.007 ]

  • 6V. Garcia Pinto, L. M. Schnorr, L. Stanisic, A. Legrand, S. Thibault, V. Danjean.

    A Visual Performance Analysis Framework for Task-based Parallel Applications running on Hybrid Clusters, in: Concurrency and Computation: Practice and Experience, April 2018, vol. 30, no 18, pp. 1-31. [ DOI : 10.1002/cpe.4472 ]

  • 7N. Gast, L. Bortolussi, M. Tribastone.

    Size Expansions of Mean Field Approximation: Transient and Steady-State Analysis, in: Performance Evaluation, 2018, pp. 1-15.

  • 8N. Gast, D. Latella, M. Massink.

    A refined mean field approximation of synchronous discrete-time population models, in: Performance Evaluation, July 2018, pp. 1-27, https://arxiv.org/abs/1807.08585. [ DOI : 10.1016/j.peva.2018.05.002 ]

  • 9R. Keller Tesser, L. Mello Schnorr, A. Legrand, C. Heinrich, F. Dupros, P. O. Alexandre Navaux.

    Performance Modeling of a Geophysics Application to Accelerate the Tuning of Over-decomposition Parameters through Simulation, in: Concurrency and Computation: Practice and Experience, 2018, pp. 1-21. [ DOI : 10.1002/cpe.5012 ]

  • 10P. Mertikopoulos, W. H. Sandholm.

    Riemannian game dynamics, in: Journal of Economic Theory, September 2018, vol. 177, pp. 315-364. [ DOI : 10.1016/j.jet.2018.06.002 ]

  • 11P. Mertikopoulos, M. Staudigl.

    On the convergence of gradient-like flows with noisy gradient input, in: SIAM Journal on Optimization, January 2018, vol. 28, no 1, pp. 163-197.

  • 12P. Mertikopoulos, M. Staudigl.

    Stochastic mirror descent dynamics and their convergence in monotone variational inequalities, in: Journal of Optimization Theory and Applications, 2018, vol. 179, no 3, pp. 838-867. [ DOI : 10.1007/s10957-018-1346-x ]


Invited Conferences

  • 13B. Vinot, F. Cadoux, N. Gast.

    Congestion Avoidance in Low-Voltage Networks by using the Advanced Metering Infrastructure, in: ePerf 2018 - IFIP WG PERFORMANCE - 36th International Symposium on Computer Performance, Modeling, Measurements and Evalution, Toulouse, France, December 2018, pp. 1-3.


International Conferences with Proceedings

  • 14A. Andreou, M. Silva, F. Benevenuto, O. Goga, P. Loiseau, A. Mislove.

    Measuring the Facebook Advertising Ecosystem, in: NDSS 2019 - Proceedings of the Network and Distributed System Security Symposium, San Diego, United States, February 2019. [ DOI : 10.14722/ndss.2019.23280 ]

  • 15A. Andreou, G. Venkatadri, O. Goga, K. P. Gummadi, P. Loiseau, A. Mislove.

    Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations, in: NDSS 2018 - Network and Distributed System Security Symposium, San Diego, United States, February 2018, pp. 1-15. [ DOI : 10.14722/ndss.2018.23204 ]

  • 16R. Borrell, J. C. Cajas, L. M. Schnorr, A. Legrand, G. Houzeaux.

    SFC based multi-partitioning for accurate load balancing of CFD simulations, in: Tenth International Conference on Computational Fluid Dynamics (ICCFD10), Barcelona, Spain, July 2018.

  • 17R. Bot, P. Mertikopoulos, M. Staudigl, P. T. Vuong.

    On the convergence of stochastic forward-backward-forward algorithms with variance reduction in pseudo-monotone variational inequalities, in: NIPS 2018 - Workshop on Smooth Games, Optimization and Machine Learning, Montréal, Canada, December 2018, pp. 1-5.

  • 18M. Bravo, D. S. Leslie, P. Mertikopoulos.

    Bandit learning in concave N-person games, in: NIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Montréal, Canada, December 2018, pp. 1-24.

  • 19H. Casanova, A. Legrand, M. Quinson, F. Suter.

    SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation, in: EduHPC-18 - Workshop on Education for High-Performance Computing, Dallas, United States, November 2018, pp. 1-10.

  • 20B. Donassolo, I. Fajjari, A. Legrand, P. Mertikopoulos.

    Fog Based Framework for IoT Service Provisioning, in: IEEE Consumer Communications & Networking Conference, Las Vegas, United States, January 2019.

  • 21S. Durand, F. Garin, B. Gaujal.

    Distributed Best Response Algorithms for Potential Games, in: ECC 2018 - 16th European Control Conference, Limassol, Cyprus, June 2018, pp. 1-6.

  • 22S. Durand, F. Garin, B. Gaujal.

    Efficiency of Best Response Dynamics with High Playing Rates in Potential Games, in: IFIP WG 7.3 Performance 2018 - 36th International Symposium on Computer Performance, Modeling, Measurements and Evaluation, Toulouse, France, December 2018, pp. 1-2.

  • 23N. Gast, L. Bortolussi, M. Tribastone.

    Size Expansions of Mean Field Approximation: Transient and Steady-State Analysis, in: 2018 - 36th International Symposium on Computer Performance, Modeling, Measurements and Evaluation, Toulouse, France, December 2018, pp. 1-2.

  • 25N. Gast, D. Latella, M. Massink.

    A Refined Mean Field Approximation for Synchronous Population Processes, in: MAMA 2018Workshop on MAthematical performance Modeling and Analysis, Irvine, United States, June 2018, pp. 1-3.

  • 26M. Leconte, G. Paschos, P. Mertikopoulos, U. Kozat.

    A resource allocation framework for network slicing, in: INFOCOM 2018 - IEEE International Conference on Computer Communications, Honolulu, United States, April 2018, pp. 1-9.

  • 27P. Mertikopoulos, C. H. Papadimitriou, G. Piliouras.

    Cycles in adversarial regularized learning, in: SODA '18 - Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, United States, January 2018, pp. 2703-2717.

  • 28M. Minaei, M. Mondal, P. Loiseau, K. P. Gummadi, A. Kate.

    Forgetting the Forgotten with Lethe: Conceal Content Deletion from Persistent Observers, in: PETS 2019 - 19th Privacy Enhancing Technologies Symposium, Stockholm, Sweden, July 2019, pp. 1-21.

  • 29U. Ozeer, X. Etchevers, L. Letondeur, F.-G. Ottogalli, G. Salaün, J.-M. Vincent.

    Resilience of Stateful IoT Applications in a Dynamic Fog Environment, in: EAI International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous '18), New York, United States, November 2018, pp. 1-10. [ DOI : 10.1145/3286978.3287007 ]

  • 31G. Venkatadri, A. Andreou, Y. Liu, A. Mislove, K. P. Gummadi, P. Loiseau, O. Goga.

    Potential for Discrimination in Online Targeted Advertising, in: FAT 2018 - Conference on Fairness, Accountability, and Transparency, New-York, United States, February 2018, vol. 81, pp. 1-15.

  • 32D. Q. Vu, P. Loiseau, A. Silva.

    Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games, in: IJCAI-ECAI 2018 - 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, Stockholm, Sweden, July 2018, pp. 1-8. [ DOI : 10.24963/ijcai.2018/72 ]

  • 33A. Ward, Z. Zhou, P. Mertikopoulos, N. Bambos.

    Power Control with Random Delays: Robust Feedback Averaging, in: CDC 2018 - 57th IEEE Conference on Decision and Control, Miami Beach, United States, December 2018, pp. 1-6.

  • 34Z. Zhou, P. Mertikopoulos, S. Athey, N. Bambos, P. Glynn, Y. Ye.

    Learning in Games with Lossy Feedback, in: NIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Montreal, Canada, December 2018, pp. 1-11.

  • 35Z. Zhou, P. Mertikopoulos, N. Bambos, P. W. Glynn, Y. Ye, L.-J. Li, F.-F. Li.

    Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?, in: ICML 2018 - 35th International Conference on Machine Learning, Stockholm, Sweden, July 2018, pp. 1-10.


National Conferences with Proceedings

  • 36V. G. Pinto, L. Mello Schnorr, A. Legrand, S. Thibault, L. Stanisic, V. Danjean.

    Detecção de Anomalias de Desempenho em Aplicações de Alto Desempenho baseadas em Tarefas em Clusters Híbridos, in: WPerformance 2018 - 17º Workshop em Desempenho de Sistemas Computacionais e de Comunicação, Natal, Brazil, July 2018, pp. 1-14.


Conferences without Proceedings

  • 37U. Ozeer, L. Letondeur, F.-G. Ottogalli, G. Salaün, J.-M. Vincent.

    Designing and Implementing Resilient IoT Applications in the Fog: A Smart Home Use Case, in: 22nd Conference on Innovation in Clouds, Internet and Networks, Paris, France, February 2019.


Internal Reports

  • 38A. Legrand, D. Trystram, S. Zrigui.

    Adapting Batch Scheduling to Workload Characteristics: What can we expect From Online Learning?, Grenoble 1 UGA - Université Grenoble Alpe, October 2018, no RR-9212, pp. 1-23.


Other Publications

References in notes
  • 47R. M. Badia, J. Labarta, J. Giménez, F. Escalé.

    Dimemas: Predicting MPI Applications Behaviour in Grid Environments, in: Proc. of the Workshop on Grid Applications and Programming Tools, June 2003.
  • 48C. Baier, B. Haverkort, H. Hermanns, J.-P. Katoen.

    Model-checking algorithms for continuous-time Markov chains, in: Software Engineering, IEEE Transactions on, 2003, vol. 29, no 6.

  • 49A. Basu, S. Fleming, J. Stanier, S. Naicken, I. Wakeman, V. K. Gurbani.

    The State of Peer-to-peer Network Simulators, in: ACM Computing Survey., August 2013, vol. 45, no 4.
  • 50D. Becker, F. Wolf, W. Frings, M. Geimer, B. Wylie, B. Mohr.

    Automatic Trace-Based Performance Analysis of Metacomputing Applications, in: Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International, March 2007.

  • 51P. Bedaride, A. Degomme, S. Genaud, A. Legrand, G. Markomanolis, M. Quinson, M. L. Stillwell, F. Suter, B. Videau.

    Toward Better Simulation of MPI Applications on Ethernet/TCP Networks, in: PMBS13 - 4th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Denver, United States, November 2013.

  • 52G. Bianchi.

    Performance analysis of the IEEE 802.11 distributed coordination function, in: Selected Areas in Communications, IEEE Journal on, 2000, vol. 18, no 3.
  • 53L. Bobelin, A. Legrand, M. A. G. David, P. Navarro, M. Quinson, F. Suter, C. Thiery.

    Scalable Multi-Purpose Network Representation for Large Scale Distributed System Simulation, in: CCGrid 2012 – The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Ottawa, Canada, May 2012, 19 p.

  • 54L. Bortolussi, J. Hillston.

    Model checking single agent behaviours by fluid approximation, in: Information and Computation, 2015, vol. 242.

  • 55L. Bortolussi, R. Lanciani.

    Model Checking Markov Population Models by Central Limit Approximation, in: Quantitative Evaluation of Systems, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2013, no 8054.
  • 56L. Bortolussi, R. Lanciani.

    Fluid Model Checking of Timed Properties, in: Formal Modeling and Analysis of Timed Systems, Springer International Publishing, 2015.
  • 57H. Brunst, D. Hackenberg, G. Juckeland, H. Rohling.

    Comprehensive Performance Tracking with Vampir 7, in: Tools for High Performance Computing 2009, M. S. Müller, M. M. Resch, A. Schulz, W. E. Nagel (editors), Springer Berlin Heidelberg, 2010.

  • 58A. Busic, B. Gaujal, G. Gorgo, J.-M. Vincent.

    PSI2 : Envelope Perfect Sampling of Non Monotone Systems, in: QEST 2010 - International Conference on Quantitative Evaluation of Systems, Williamsburg, VA, United States, IEEE, September 2010, pp. 83-84.

  • 59A. Busic, B. Gaujal, F. Perronnin.

    Perfect Sampling of Networks with Finite and Infinite Capacity Queues, in: 19th International Conference on Analytical and Stochastic Modelling Techniques and Applications (ASMTA) 2012, Grenoble, France, K. Al-Begain, D. Fiems, J.-M. Vincent (editors), Lecture Notes in Computer Science, Springer, 2012, vol. 7314, pp. 136-149. [ DOI : 10.1007/978-3-642-30782-9_10 ]

  • 60S. Böhm, C. Engelmann.

    xSim: The Extreme-Scale Simulator, in: Proceedings of the International Conference on High Performance Computing and Simulation (HPCS) 2011, Istanbul, Turkey, IEEE Computer Society, Los Alamitos, CA, USA, July 2011.
  • 61H. Casanova, A. Giersch, A. Legrand, M. Quinson, F. Suter.

    Versatile, Scalable, and Accurate Simulation of Distributed Applications and Platforms, in: Journal of Parallel and Distributed Computing, June 2014, vol. 74, no 10, pp. 2899-2917. [ DOI : 10.1016/j.jpdc.2014.06.008 ]

  • 62A. Chaintreau, J.-Y. Le Boudec, N. Ristanovic.

    The Age of Gossip: Spatial Mean Field Regime, in: SIGMETRICS Perform. Eval. Rev., June 2009, vol. 37, no 1.

  • 63K. Coulomb, M. Faverge, J. Jazeix, O. Lagrasse, J. Marcoueille, P. Noisette, A. Redondy, C. Vuchener.

    Visual trace explorer (ViTE), October, 2009.
  • 64J. Doncel, N. Gast, B. Gaujal.

    Mean-Field Games with Explicit Interactions, February 2016.

  • 65S. Durand, B. Gaujal, F. Perronnin, J.-M. Vincent.

    A perfect sampling algorithm of random walks with forbidden arcs, in: QEST 2014 - 11th International Conference on Quantitative Evaluation of Systems, Florence, Italy, Springer, September 2014, vol. 8657, pp. 178-193. [ DOI : 10.1007/978-3-319-10696-0_15 ]

  • 66C. Fricker, N. Gast.

    Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity, in: EURO Journal on Transportation and Logistics, June 2014, 31 p. [ DOI : 10.1007/s13676-014-0053-5 ]

  • 67C. Fricker, N. Gast, H. Mohamed.

    Mean field analysis for inhomogeneous bike sharing systems, in: AofA, Montreal, Canada, July 2012.

  • 68D. Fudenberg, D. K. Levine.

    The Theory of Learning in Games, Economic learning and social evolution, MIT Press, Cambridge, MA, 1998, vol. 2.
  • 69R. M. Fujimoto.

    Parallel Discrete Event Simulation, in: Commun. ACM, October 1990, vol. 33, no 10.

  • 70N. Gast, B. Gaujal.

    Markov chains with discontinuous drifts have differential inclusion limits, in: Performance Evaluation, 2012, vol. 69, no 12, pp. 623-642. [ DOI : 10.1016/j.peva.2012.07.003 ]

  • 71N. Gast, B. Gaujal, J.-Y. Le Boudec.

    Mean field for Markov Decision Processes: from Discrete to Continuous Optimization, in: IEEE Transactions on Automatic Control, 2012, vol. 57, no 9, pp. 2266 - 2280. [ DOI : 10.1109/TAC.2012.2186176 ]

  • 72N. Gast, J.-Y. Le Boudec, D.-C. Tomozei.

    Impact of Demand-Response on the Efficiency and Prices in Real-Time Electricity Markets, in: ACM e-Energy 2014, Cambridge, United Kingdom, June 2014. [ DOI : 10.1145/2602044.2602052 ]

  • 73N. Gast, B. Van Houdt.

    Transient and Steady-state Regime of a Family of List-based Cache Replacement Algorithms, in: ACM SIGMETRICS 2015, Portland, United States, June 2015. [ DOI : 10.1145/2745844.2745850 ]

  • 74J. González, J. Giménez, J. Labarta.

    Automatic detection of parallel applications computation phases, in: Parallel and Distributed Processing Symposium, International, 2009, vol. 0.

  • 75M. Heath, J. Etheridge.

    Visualizing the performance of parallel programs, in: IEEE software, 1991, vol. 8, no 5.
  • 76T. Hoefler, T. Schneider, A. Lumsdaine.

    LogGOPSim - Simulating Large-Scale Applications in the LogGOPS Model, in: Proc. of the ACM Workshop on Large-Scale System and Application Performance, June 2010.
  • 77L. Hu, J.-Y. Le Boudec, M. Vojnović.

    Optimal channel choice for collaborative ad-hoc dissemination, in: INFOCOM, 2010 Proceedings IEEE, IEEE, 2010.
  • 78L. V. Kalé, G. Zheng, C. W. Lee, S. Kumar.

    Scaling applications to massively parallel machines using Projections performance analysis tool, in: Future Generation Comp. Syst., 2006, vol. 22, no 3.
  • 79T. G. Kurtz.

    Approximation of population processes, SIAM, 1981, vol. 36.
  • 80Y.-B. Lin, E. D. Lazowska.

    A Time-division Algorithm for Parallel Simulation, in: ACM Trans. Model. Comput. Simul., January 1991, vol. 1, no 1.

  • 81G. Llort, J. González, H. Servat, J. Giménez, J. Labarta.

    On-line Detection of Large-scale Parallel Application's Structure, in: 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS’2010), 2010.
  • 82L. Mello Schnorr, A. Legrand.

    Visualizing More Performance Data Than What Fits on Your Screen, in: Tools for High Performance Computing 2012, A. Cheptsov, S. Brinkmann, J. Gracia, M. M. Resch, W. E. Nagel (editors), Springer Berlin Heidelberg, 2013, pp. 149-162. [ DOI : 10.1007/978-3-642-37349-7_10 ]

  • 83S. Meyn, P. Barooah, A. Busic, J. Ehren.

    Ancillary service to the grid from deferrable loads: the case for intelligent pool pumps in Florida, in: Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, IEEE, 2013.
  • 84M. Mitzenmacher.

    The power of two choices in randomized load balancing, in: Parallel and Distributed Systems, IEEE Transactions on, 2001, vol. 12, no 10.
  • 85K. Mohror, K. Karavanic, A. Snavely.

    Scalable Event Trace Visualization, in: Euro-Par 2009 – Parallel Processing Workshops, H.-X. Lin, M. Alexander, M. Forsell, A. Knüpfer, R. Prodan, L. Sousa, A. Streit (editors), Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2010, vol. 6043.

  • 86W. Nagel, A. Arnold, M. Weber, H. Hoppe, K. Solchenbach.

    VAMPIR: Visualization and Analysis of MPI Resources, in: Supercomputer, 1996, vol. 12, no 1.
  • 87V. Pillet, J. Labarta, T. Cortes, S. Girona.

    PARAVER: A tool to visualise and analyze parallel code, in: Proceedings of Transputer and occam Developments, WOTUG-18., Transputer and Occam Engineering, IOS Press, 1995, vol. 44.
  • 88J. Propp, D. Wilson.

    Coupling from the past: a user's guide, in: DIMACS Series on Discrete Mathematics and Theoretical Computer Science, 1998, vol. 41, Microsurveys in discrete probability.
  • 89M. L. Puterman.

    Markov decision processes: discrete stochastic dynamic programming, John Wiley & Sons, 2014.
  • 90D. Reed, P. Roth, R. Aydt, K. Shields, L. Tavera, R. Noe, B. Schwartz.

    Scalable performance analysis: the Pablo performance analysis environment, in: Scalable Parallel Libraries Conference, 1993., Proceedings of the, 1993.
  • 91W. H. Sandholm.

    Population Games and Evolutionary Dynamics, Economic learning and social evolution, MIT Press, Cambridge, MA, 2010.
  • 92W. H. Sandholm, M. Staudigl.

    A Sample Path Large Deviation Principle for a Class of Population Processes, in: arXiv preprint arXiv:1511.07897, 2015.
  • 93H. Servat, G. Llort, J. Giménez, K. Huck, J. Labarta.

    Folding: detailed analysis with coarse sampling, in: Tools for High Performance Computing 2011, Springer Berlin Heidelberg, 2012.
  • 94H. Servat, G. Llort, J. Gonzalez, J. Gimenez, J. Labarta.

    Identifying code phases using piece-wise linear regressions, in: Parallel and Distributed Processing Symposium, 2014 IEEE 28th International, IEEE, 2014.
  • 95B. Shneiderman.

    The eyes have it: A task by data type taxonomy for information visualizations, in: Visual Languages, 1996. Proceedings., IEEE Symposium on, IEEE, 1996.
  • 96M. Tikir, M. Laurenzano, L. Carrington, A. Snavely.

    PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications, in: Proc. of the 15th International Euro-Par Conference on Parallel Processing, LNCS, Springer, August 2009, no 5704.
  • 97B. Van Houdt.

    A Mean Field Model for a Class of Garbage Collection Algorithms in Flash-based Solid State Drives, in: Proceedings of the ACM SIGMETRICS, New York, NY, USA, SIGMETRICS '13, ACM, 2013.

  • 98P. Velho, L. Schnorr, H. Casanova, A. Legrand.

    On the Validity of Flow-level TCP Network Models for Grid and Cloud Simulations, in: ACM Transactions on Modeling and Computer Simulation, October 2013, vol. 23, no 4.

  • 99J. J. Wilke, K. Sargsyan, J. P. Kenny, B. Debusschere, H. N. Najm, G. Hendry.

    Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference, in: Euro-Par 2013 Parallel Processing: 19th International Conference, Aachen, Germany, August 26-30, 2013. Proceedings, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013.
  • 100F. Wolf, B. Mohr.

    Automatic performance analysis of hybrid MPI/OpenMP applications, in: Journal of Systems Architecture, 2003, vol. 49, no 10-11.
  • 101T. Yang, P. G. Mehta, S. P. Meyn.

    A mean-field control-oriented approach to particle filtering, in: American Control Conference (ACC), 2011, IEEE, 2011.
  • 102L. Ying.

    On the Rate of Convergence of Mean-Field Models: Stein's Method Meets the Perturbation Theory, in: arXiv preprint arXiv:1510.00761, 2015.
  • 103O. Zaki, E. Lusk, W. Gropp, D. Swider.

    Toward Scalable Performance Visualization with Jumpshot, in: International Journal of High Performance Computing Applications, 1999, vol. 13, no 3.

  • 104G. Zheng, G. Kakulapati, L. Kalé.

    BigSim: A Parallel Simulator for Performance Prediction of Extremely Large Parallel Machines, in: Proc. of the 18th International Parallel and Distributed Processing Symposium (IPDPS), April 2004.
  • 105J. C. de Kergommeaux, B. Stein, P. Bernard.

    Paje, an interactive visualization tool for tuning multi-threaded parallel applications, in: Parallel Computing, 2000, vol. 10, no 26, pp. 1253–1274.