Marc Casas - RankMe

123 papers A* 9A 30B 18C 6Misc 1Journal 39Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific Computing. PPoPP Yuechen Lu, Hongwei Zeng, Marc Casas, Weifeng Liu
2026	B	`conf`	DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUs. PPoPP Yuyao Niu, Yuechen Lu, Weifeng Liu, Marc Casas
2026	J	`jnl`	Sparse matrix-vector product on RISC-V processors with SIMD units. Computing Andrés E. Tomás, Héctor Martínez, Sandra Catalán, Patricia Siwinska, Adrián Castelló, Marc Casas, Enrique S. Quintana-Ortí
2026	A*	`conf`	Swift: High-Performance Sparse-Dense Matrix Multiplication on GPUs. HPCA Jinyu Hu, Huizhang Luo, Hong Jiang, Marc Casas, Kenli Li, Chubo Liu
2025	J	`jnl`	A Flexible Instruction Set Architecture for Efficient GEMMs. CoRR Alexandre de Limas Santana, Adrià Armejach, Francesc Martínez, Erich Focht, Marc Casas
2025	J	`jnl`	ALBBA: An efficient ALgebraic Bypass BFS Algorithm on long vector architectures. Parallel Comput. Yuyao Niu, Marc Casas
2025	B	`conf`	BerryBees: Breadth First Search by Bit-Tensor-Cores. PPoPP Yuyao Niu, Marc Casas
2025	—	`conf`	Instruction-Aware Cooperative TLB and Cache Replacement Policies. ASPLOS (1) Dimitrios Chasapis, Georgios Vavouliotis, Daniel A. Jiménez, Marc Casas
2025	B	`conf`	OVERT: Orchestrating Vector-Scalar Execution for Efficient SpMV on Modern CPUs. ICPP Kelun Lei, Hailong Yang, Kaige Zhang, Shaokang Du, Marc Casas, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian
2025	A*	`conf`	To Cross, or Not to Cross Pages for Prefetching? HPCA Georgios Vavouliotis, Martí Torrents, Boris Grot, Kleovoulos Kalaitzidis, Leeor Peled, Marc Casas
2024	A*	`conf`	A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering. HPCA Alexandre Valentin Jamet, Georgios Vavouliotis, Daniel A. Jiménez, Lluc Alvarez, Marc Casas
2024	J	`jnl`	A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering. CoRR Alexandre Valentin Jamet, Georgios Vavouliotis, Daniel A. Jiménez, Lluc Alvarez, Marc Casas
2024	A	`conf`	AmgT: Algebraic Multigrid Solver on Tensor Cores. SC Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu
2024	J	`jnl`	An Open-Source Framework for Efficient Numerically-Tailored Computations. CoRR Louis Ledoux, Marc Casas
2024	A	`conf`	Exploiting Vector Code Semantics for Efficient Data Cache Prefetching. ICS Francesc Martínez Palau, Martí Torrents, Adrià Armejach, Marc Casas
2024	A	`conf`	Extending Sparse Patterns to Improve Inverse Preconditioning on GPU Architectures. HPDC Sergi Laut, Ricard Borrell, Marc Casas
2024	A	`conf`	Practically Tackling Memory Bottlenecks of Graph-Processing Workloads. IPDPS Alexandre Valentin Jamet, Georgios Vavouliotis, Daniel A. Jiménez, Lluc Alvarez, Marc Casas
2023	B	`conf`	An Open-Source Framework for Efficient Numerically-Tailored Computations. FPL Louis Ledoux, Marc Casas
2023	J	`jnl`	Characterizing the impact of last-level cache replacement policies on big-data workloads. CoRR Alexandre Valentin Jamet, Lluc Alvarez, Marc Casas
2023	J	`jnl`	Compressed Real Numbers for AI: a case-study using a RISC-V CPU. CoRR Federico Rossi, Marco Cococcioni, Roger Ferrer Ibáñez, Jesús Labarta, Filippo Mantovani, Marc Casas, Emanuele Ruffaldi, Sergio Saponara
2023	B	`conf`	Efficient Direct Convolution Using Long SIMD Instructions. PPoPP Alexandre de Limas Santana, Adrià Armejach, Marc Casas
2023	A	`conf`	Efficient Execution of SpGEMM on Long Vector Architectures. HPDC Valentin Le Fèvre, Marc Casas
2023	J	`jnl`	HPCG on long-vector architectures: Evaluation and optimization on NEC SX-Aurora and RISC-V. Future Gener. Comput. Syst. Constantino Gómez, Filippo Mantovani, Erich Focht, Marc Casas
2023	J	`jnl`	Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations. CoRR Louis Ledoux, Marc Casas
2023	J	`jnl`	Optimization of SpGEMM with Risc-V vector instructions. CoRR Valentin Le Fèvre, Marc Casas
2022	C	`conf`	A BF16 FMA is All You Need for DNN Training. ARITH John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas
2022	J	`jnl`	A BF16 FMA is All You Need for DNN Training. IEEE Trans. Emerg. Top. Comput. John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas
2022	Misc	`conf`	A Generator of Numerically-Tailored and High-Throughput Accelerators for Batched GEMMs. FCCM Louis Ledoux, Marc Casas
2022	—	`conf`	A Selective Nesting Approach for the Sparse Multi-threaded Cholesky Factorization. ESPM2@SC Valentin Le Fèvre, Tetsuzo Usui, Marc Casas
2022	A	`conf`	Communication-aware Sparse Patterns for the Factorized Approximate Inverse Preconditioner. HPDC Sergi Laut, Marc Casas, Ricard Borrell
2022	J	`jnl`	Compiler-Assisted Compaction/Restoration of SIMD Instructions. IEEE Trans. Parallel Distributed Syst. Juan M. Cebrian, Thibaud Balem, Adrián Barredo, Marc Casas, Miquel Moretó, Alberto Ros, Alexandra Jimborean
2022	B	`conf`	FASE: A Fast, Accurate and Seamless Emulator for Custom Numerical Formats. ISPASS John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas
2022	—	`conf`	FASE: A Fast, Accurate and Seamless Emulator for Custom Numerical Formats. ECML/PKDD (5) John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas
2022	J	`jnl`	Optimization of the Sparse Multi-Threaded Cholesky Factorization for A64FX. CoRR Valentin Le Fèvre, Tetsuzo Usui, Marc Casas
2022	A*	`conf`	Page Size Aware Cache Prefetching. MICRO Georgios Vavouliotis, Gino Chacon, Lluc Alvarez, Paul V. Gratz, Daniel A. Jiménez, Marc Casas
2022	A	`conf`	TD-NUCA: Runtime Driven Management of NUCA Caches in Task Dataflow Programming Models. SC Paul Caheny, Lluc Alvarez, Marc Casas, Miquel Moretó
2022	A	`conf`	Task-based Acceleration of Bidirectional Recurrent Neural Networks on Multi-core Architectures. IPDPS Robin Kumar Sharma, Marc Casas
2021	A	`conf`	Cache-aware Sparse Patterns for the Factorized Sparse Approximate Inverse Preconditioner. HPDC Sergi Laut, Ricard Borrell, Marc Casas
2021	C	`conf`	Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training. ICMLA John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas
2021	B	`conf`	Efficiently running SpMV on long vector architectures. PPoPP Constantino Gómez, Filippo Mantovani, Erich Focht, Marc Casas
2021	A*	`conf`	Exploiting Page Table Locality for Agile TLB Prefetching. ISCA Georgios Vavouliotis, Lluc Alvarez, Vasileios Karakostas, Konstantinos Nikas, Nectarios Koziris, Daniel A. Jiménez, Marc Casas
2021	J	`jnl`	Intelligent Adaptation of Hardware Knobs for Improving Performance and Power Consumption. IEEE Trans. Computers Cristobal Ortega, Lluc Alvarez, Marc Casas, Ramon Bertran, Alper Buyuktosunoglu, Alexandre E. Eichenberger, Pradip Bose, Miquel Moretó
2021	A*	`conf`	Morrigan: A Composite Instruction TLB Prefetcher. MICRO Georgios Vavouliotis, Lluc Alvarez, Boris Grot, Daniel A. Jiménez, Marc Casas
2021	—	`conf`	Multilevel simulation-based co-design of next generation HPC microprocessors. PMBS Lilia Zaourar, Mohamed Benazouz, Ayoub Mouhagir, Fatma Jebali, Tanguy Sassolas, Jean-Christophe Weill, Carlos Falquez, Nam Ho, Dirk Pleiter, Antoni Portero, Estela Suarez, Polydoros Petrakis, Vassilis Papaefstathiou, Manolis Marazakis, Milan Radulovic, Francesc Martínez, Adrià Armejach, Marc Casas, Alejandro Nocua, Romain Dolbeau
2021	—	`conf`	PrioRAT: Criticality-Driven Prioritization Inside the On-Chip Memory Hierarchy. Euro-Par Vladimir Dimic, Miquel Moretó, Marc Casas, Mateo Valero
2020	—	`conf`	Characterizing the impact of last-level cache replacement policies on big-data workloads. IISWC Alexandre Valentin Jamet, Lluc Alvarez, Daniel A. Jiménez, Marc Casas
2020	A	`conf`	Cost-aware prediction of uncorrected DRAM errors in the field. SC Isaac Boixaderas, Darko Zivanovic, Sergi Moré, Javier Bartolome, David Vicente, Marc Casas, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé
2020	J	`jnl`	Efficiency analysis of modern vector architectures: vector ALU sizes, core counts and clock frequencies. J. Supercomput. Adrián Barredo, Juan M. Cebrian, Mateo Valero, Marc Casas, Miquel Moretó
2020	C	`conf`	Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors. ICMLA John Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas
2020	J	`jnl`	Generating Efficient DNN-Ensembles with Evolutionary Computation. CoRR Marc Ortiz, Florian Scheidegger, Marc Casas, A. Cristiano I. Malossi, Eduard Ayguadé
2020	A*	`conf`	Improving Predication Efficiency through Compaction/Restoration of SIMD Instructions. HPCA Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero
2020	J	`jnl`	Iteration-fusing conjugate gradient for sparse linear systems with MPI + OmpSs. J. Supercomput. Maria Barreda, José Ignacio Aliaga, Vicenç Beltran, Marc Casas
2020	A	`conf`	Modeling and optimizing NUMA effects and prefetching with machine learning. ICS Isaac Sánchez Barrera, David Black-Schaffer, Marc Casas, Miquel Moretó, Anastasiia Stupnikova, Mihail Popov
2020	A	`conf`	RICH: implementing reductions in the cache hierarchy. ICS Vladimir Dimic, Miquel Moretó, Marc Casas, Jan Ciesko, Mateo Valero
2020	J	`jnl`	Reducing Data Motion to Accelerate the Training of Deep Neural Networks. CoRR Sicong Zhuang, A. Cristiano I. Malossi, Marc Casas
2020	A	`conf`	Runtime-guided ECC protection using online estimation of memory vulnerability. SC Luc Jaulmes, Miquel Moretó, Mateo Valero, Mattan Erez, Marc Casas
2020	J	`jnl`	Semi-automatic validation of cycle-accurate simulation infrastructures: The case for gem5-x86. Future Gener. Comput. Syst. Juan M. Cebrian, Adrián Barredo, Helena Caminal, Miquel Moretó, Marc Casas, Mateo Valero
2020	J	`jnl`	Using Arm's scalable vector extension on stencil codes. J. Supercomput. Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rubén Langarita, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó
2020	A	`conf`	Wavefront parallelization of recurrent neural networks on multi-core architectures. ICS Robin Kumar Sharma, Marc Casas
2019	C	`conf`	A Vulnerability Factor for ECC-protected Memory. IOLTS Luc Jaulmes, Miquel Moretó, Mateo Valero, Marc Casas
2019	—	`conf`	Convolutional Neural Network Training with Dynamic Epoch Ordering. CCIA Ferran Plana Rius, Cecilio Angulo Bahón, Marc Casas, Josep Maria Mirats Tur
2019	A	`conf`	Design Space Exploration of Next-Generation HPC Machines. IPDPS Constantino Gómez, Francesc Martínez, Adrià Armejach, Miquel Moretó, Filippo Mantovani, Marc Casas
2019	J	`jnl`	Design trade-offs for emerging HPC processors based on mobile market technology. J. Supercomput. Adrià Armejach, Marc Casas, Miquel Moretó
2019	—	`conf`	On the Benefits of Tasking with OpenMP. IWOMP Alejandro Rico, Isaac Sánchez Barrera, José A. Joao, Joshua Randall, Marc Casas, Miquel Moretó
2019	J	`jnl`	On the maturity of parallel applications for asymmetric multi-core processors. J. Parallel Distributed Comput. Kallia Chronaki, Miquel Moretó, Marc Casas, Alejandro Rico, Rosa M. Badia, Eduard Ayguadé, Mateo Valero
2019	—	`conf`	Open-Source Shared Memory implementation of the HPCG benchmark: analysis, improvements and evaluation on Cavium ThunderX2. HPCS Daniel Ruiz, Filippo Spiga, Marc Casas, Marta Garcia-Gasulla, Filippo Mantovani
2019	A	`conf`	Optimizing computation-communication overlap in asynchronous task-based programs. ICS Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele
2019	B	`conf`	Optimizing computation-communication overlap in asynchronous task-based programs: poster. PPoPP Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele
2019	B	`conf`	POSTER: An Optimized Predication Execution for SIMD Extensions. PACT Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero
2019	A	`conf`	Power efficient job scheduling by predicting the impact of processor manufacturing variability. ICS Dimitrios Chasapis, Miquel Moretó, Martin Schulz, Barry Rountree, Mateo Valero, Marc Casas
2019	J	`jnl`	Resilient gossip-inspired all-reduce algorithms for high-performance computing: Potential, limitations, and open questions. Int. J. High Perform. Comput. Appl. Marc Casas, Wilfried N. Gansterer, Elias Wimmer
2019	J	`jnl`	Sampled Simulation of Task-Based Programs. IEEE Trans. Computers Thomas Grass, Trevor E. Carlson, Alejandro Rico, Germán Ceballos, Eduard Ayguadé, Marc Casas, Miquel Moretó
2019	J	`jnl`	Special issue on the message passing interface. Parallel Comput. Pavan Balaji, Marc Casas
2018	—	`conf`	Approximating a Multi-Grid Solver. PMBS@SC Valentin Le Fèvre, Leonardo Bautista-Gomez, Osman S. Unsal, Marc Casas
2018	A*	`conf`	Architectural Support for Task Dependence Management with Flexible Software Scheduling. HPCA Emilio Castillo, Lluc Alvarez, Miquel Moretó, Marc Casas, Enrique Vallejo, José Luis Bosque, Ramón Beivide, Mateo Valero
2018	J	`jnl`	Asynchronous and Exact Forward Recovery for Detected Errors in Iterative Solvers. IEEE Trans. Parallel Distributed Syst. Luc Jaulmes, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas
2018	—	`conf`	Data Prefetching on In-order Processors. HPCS Cristobal Ortega, Victor Garcia, Miquel Moretó, Marc Casas, Roxana Rusitoru
2018	B	`conf`	Graph partitioning applied to DAG scheduling to reduce NUMA effects. PPoPP Isaac Sánchez Barrera, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2018	J	`jnl`	Low-Precision Floating-Point Schemes for Neural Network Training. CoRR Marc Ortiz, Adrián Cristal, Eduard Ayguadé, Marc Casas
2018	J	`jnl`	Memory Vulnerability: A Case for Delaying Error Reporting. CoRR Luc Jaulmes, Miquel Moretó, Mateo Valero, Marc Casas
2018	J	`jnl`	Performance and energy effects on task-based parallelized applications - User-directed versus manual vectorization. J. Supercomput. Helena Caminal, Diego Caballero, Juan M. Cebrian, Roger Ferrer, Marc Casas, Miquel Moretó, Xavier Martorell, Mateo Valero
2018	J	`jnl`	Reducing Cache Coherence Traffic with a NUMA-Aware Runtime Approach. IEEE Trans. Parallel Distributed Syst. Paul Caheny, Lluc Alvarez, Said Derradji, Mateo Valero, Miquel Moretó, Marc Casas
2018	A	`conf`	Reducing Data Movement on Large Shared Memory Systems by Exploiting Computation Dependencies. ICS Isaac Sánchez Barrera, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas
2018	A	`conf`	Runtime-Guided Management of Stacked DRAM Memories in Task Parallel Programs. ICS Lluc Alvarez, Marc Casas, Jesús Labarta, Eduard Ayguadé, Mateo Valero, Miquel Moretó
2018	A	`conf`	Runtime-assisted cache coherence deactivation in task parallel programs. SC Paul Caheny, Lluc Alvarez, Mateo Valero, Miquel Moretó, Marc Casas
2018	B	`conf`	Stencil codes on a vector length agnostic architecture. PACT Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó
2018	C	`conf`	TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism. ISC Kallia Chronaki, Marc Casas, Miquel Moretó, Jaume Bosch, Rosa M. Badia
2017	A	`conf`	ATM: Approximate Task Memoization in the Runtime System. IPDPS Iulian Brumar, Marc Casas, Miquel Moretó, Mateo Valero, Gurindar S. Sohi
2017	—	`conf`	Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor. Euro-Par Workshops Ilia Pietri, Sicong Zhuang, Marc Casas, Miquel Moretó, Rizos Sakellariou
2017	A	`conf`	Iteration-fusing conjugate gradient. ICS Sicong Zhuang, Marc Casas
2017	J	`jnl`	Prediction of the impact of network switch utilization on application performance via active measurement. Parallel Comput. Marc Casas, Greg Bronevetsky
2017	—	`conf`	Runtime-Assisted Shared Cache Insertion Policies Based on Re-reference Intervals. Euro-Par Vladimir Dimic, Miquel Moretó, Marc Casas, Mateo Valero
2017	J	`jnl`	Task Scheduling Techniques for Asymmetric Multi-Core Systems. IEEE Trans. Parallel Distributed Syst. Kallia Chronaki, Alejandro Rico, Marc Casas, Miquel Moretó, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2017	B	`conf`	iQ: An Efficient and Flexible Queue-Based Simulation Framework. MASCOTS Damian Roca, Daniel Nemirovsky, Marc Casas, Miquel Moretó, Mateo Valero, Mario Nemirovsky
2017	A	`conf`	libPRISM: an intelligent adaptation of prefetch and SMT levels. ICS Cristobal Ortega, Miquel Moretó, Marc Casas, Ramon Bertran, Alper Buyuktosunoglu, Alexandre E. Eichenberger, Pradip Bose
2016	A	`conf`	CATA: Criticality Aware Task Acceleration for Multicore Processors. IPDPS Emilio Castillo, Miquel Moretó, Marc Casas, Lluc Alvarez, Enrique Vallejo, Kallia Chronaki, Rosa M. Badia, José Luis Bosque, Ramón Beivide, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2016	J	`jnl`	Evaluation of HPC Applications' Memory Resource Consumption via Active Measurement. IEEE Trans. Parallel Distributed Syst. Marc Casas, Greg Bronevetsky
2016	A	`conf`	MUSA: a multi-level simulation approach for next-generation HPC machines. SC Thomas Grass, César Allande, Adrià Armejach, Alejandro Rico, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas, Miquel Moretó
2016	J	`jnl`	PARSECSs: Evaluating the Impact of Task Parallelism in the PARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. Dimitrios Chasapis, Marc Casas, Miquel Moretó, Raul Vidal, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2016	B	`conf`	POSTER: Exploiting Asymmetric Multi-Core Processors with Flexible System Sofware. PACT Kallia Chronaki, Miquel Moretó, Marc Casas, Alejandro Rico, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2016	B	`conf`	Reducing Cache Coherence Traffic with Hierarchical Directory Cache and NUMA-Aware Runtime Scheduling. PACT Paul Caheny, Marc Casas, Miquel Moretó, Hervé Gloaguen, Maxime Saintes, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2016	A	`conf`	Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes. ICS Dimitrios Chasapis, Marc Casas, Miquel Moretó, Martin Schulz, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2016	B	`conf`	TaskPoint: Sampled simulation of task-based programs. ISPASS Thomas Grass, Alejandro Rico, Marc Casas, Miquel Moretó, Eduard Ayguadé
2015	J	`jnl`	Adaptive and application dependent runtime guided hardware prefetcher reconfiguration on the IBM POWER7. CoRR David Prat, Cristobal Ortega, Marc Casas, Miquel Moretó, Mateo Valero
2015	A*	`conf`	Coherence protocol for transparent management of scratchpad memories in shared memory manycore architectures. ISCA Lluc Alvarez, Lluís Vilanova, Miquel Moretó, Marc Casas, Marc González, Xavier Martorell, Nacho Navarro, Eduard Ayguadé, Mateo Valero
2015	—	`conf`	Evaluating the Impact of OpenMP 4.0 Extensions on Relevant Parallel Workloads. IWOMP Raul Vidal, Marc Casas, Miquel Moretó, Dimitrios Chasapis, Roger Ferrer, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2015	A	`conf`	Exploiting asynchrony from exact forward recovery for DUE in iterative solvers. SC Luc Jaulmes, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2015	—	`conf`	Runtime-Aware Architectures. Euro-Par Marc Casas, Miquel Moretó, Lluc Alvarez, Emilio Castillo, Dimitrios Chasapis, Timothy Hayes, Luc Jaulmes, Oscar Palomar, Osman S. Unsal, Adrián Cristal, Eduard Ayguadé, Jesús Labarta, Mateo Valero
2015	B	`conf`	Runtime-Guided Management of Scratchpad Memories in Multicore Architectures. PACT Lluc Alvarez, Miquel Moretó, Marc Casas, Emilio Castillo, Xavier Martorell, Jesús Labarta, Eduard Ayguadé, Mateo Valero
2014	A	`conf`	Active Measurement of Memory Resource Consumption. IPDPS Marc Casas, Greg Bronevetsky
2014	A	`conf`	Active Measurement of the Impact of Network Switch Utilization on Application Performance. IPDPS Marc Casas, Greg Bronevetsky
2014	—	`conf`	Evaluating Execution Time Predictability of Task-Based Programs on Multi-Core Processors. Euro-Par Workshops (2) Thomas Grass, Alejandro Rico, Marc Casas, Miquel Moretó, Alex Ramírez
2014	J	`jnl`	Runtime-Aware Architectures: A First Approach. Supercomput. Front. Innov. Mateo Valero, Miquel Moretó, Marc Casas, Eduard Ayguadé, Jesús Labarta
2013	—	`conf`	Performance Analysis Techniques for the Exascale Co-Design Process. PARCO Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree
2011	J	`jnl`	Extracting the optimal sampling frequency of applications using spectral analysis. Concurr. Comput. Pract. Exp. Marc Casas, Harald Servat, Rosa M. Badia, Jesús Labarta
2011	J	`jnl`	Simulating Whole Supercomputer Applications. IEEE Micro Juan Gonzalez, Judit Giménez, Marc Casas, Miquel Moretó, Alex Ramírez, Jesús Labarta, Mateo Valero
2011	B	`conf`	Trace Spectral Analysis toward Dynamic Levels of Detail. ICPADS Germán Llort, Marc Casas, Harald Servat, Kevin A. Huck, Judit Giménez, Jesús Labarta
2010	J	`jnl`	Automatic Phase Detection and Structure Extraction of MPI Applications. Int. J. High Perform. Comput. Appl. Marc Casas, Rosa M. Badia, Jesús Labarta
2010	—	`—`	Spectral analysis of executions of computer programs and its applications on performance analysis. Marc Casas
2008	A	`conf`	Automatic analysis of speedup of MPI applications. ICS Marc Casas, Rosa M. Badia, Jesús Labarta
2008	C	`conf`	Prediction of behavior of MPI applications. CLUSTER Marc Casas, Rosa M. Badia, Jesús Labarta
2007	—	`conf`	Automatic Phase Detection of MPI Applications. PARCO Marc Casas, Rosa M. Badia, Jesús Labarta
2007	—	`conf`	Automatic Structure Extraction from MPI Applications Tracefiles. Euro-Par Marc Casas, Rosa M. Badia, Jesús Labarta