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Paul M. Carpenter

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affiliation: Barcelona Supercomputing Center, Spain
affiliation (PhD): Polytechnic University of Catalonia, Barcelona, Spain

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Books and Theses

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2011
[b1]
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Paul M. Carpenter:
Running stream-like programs on heterogeneous multi-core systems. Polytechnic University of Catalonia, Spain, 2011

Journal Articles

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2021
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Felippe Vieira Zacarias, Vinicius Petrucci, Rajiv Nishtala, Paul M. Carpenter, Daniel Mossé:
Intelligent colocation of HPC workloads. J. Parallel Distributed Comput. 151: 125-137 (2021)
2019
[j10]
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Renan Fischer e Silva, Paul M. Carpenter:
TCP proactive congestion control for east-west traffic: The marking threshold. Comput. Networks 151: 1-11 (2019)
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Milan Radulovic, Rommel Sánchez Verdejo, Paul M. Carpenter, Petar Radojkovic, Bruce L. Jacob, Eduard Ayguadé:
PROFET: Modeling System Performance and Energy Without Simulating the CPU. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 34:1-34:33 (2019)
[j8]
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Paul M. Carpenter, Alex Ramírez, Eduard Ayguadé:
The Abstract Streaming Machine: Compile-Time Performance Modelling of Stream Programs on Heterogeneous Multiprocessors. Trans. High Perform. Embed. Archit. Compil. 5: 79-99 (2019)
2018
[j7]
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Karthikeyan P. Saravanan, Paul M. Carpenter:
PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects. IEEE Trans. Computers 67(7): 960-974 (2018)
2017
[j6]
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Victor Garcia, Alejandro Rico, Carlos Villavieja, Paul M. Carpenter, Nacho Navarro, Alex Ramírez:
Adaptive Runtime-Assisted Block Prefetching on Chip-Multiprocessors. Int. J. Parallel Program. 45(3): 530-550 (2017)
[j5]
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Darko Zivanovic, Milan Pavlovic, Milan Radulovic, Hyunsung Shin, Jongpil Son, Sally A. McKee, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
Main Memory in HPC: Do We Need More or Could We Live with Less? ACM Trans. Archit. Code Optim. 14(1): 3:1-3:26 (2017)
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Rajiv Nishtala, Paul M. Carpenter, Vinicius Petrucci, Xavier Martorell:
The Hipster Approach for Improving Cloud System Efficiency. ACM Trans. Comput. Syst. 35(3): 8:1-8:28 (2017)
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Renan Fischer e Silva, Paul M. Carpenter:
Energy Efficient Ethernet on MapReduce Clusters: Packet Coalescing To Improve 10GbE Links. IEEE/ACM Trans. Netw. 25(5): 2731-2742 (2017)
2016
[j2]
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Petar Radojkovic, Paul M. Carpenter, Miquel Moretó, Vladimir Cakarevic, Javier Verdú, Alex Pajuelo, Francisco J. Cazorla, Mario Nemirovsky, Mateo Valero:
Thread Assignment in Multicore/Multithreaded Processors: A Statistical Approach. IEEE Trans. Computers 65(1): 256-269 (2016)
2011
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Harm Munk, Eduard Ayguadé, Cédric Bastoul, Paul M. Carpenter, Zbigniew Chamski, Albert Cohen, Marco Cornero, Philippe Dumont, Marc Duranton, Mohammed Fellahi, Roger Ferrer, Razya Ladelsky, Menno Lindwer, Xavier Martorell, Cupertino Miranda, Dorit Nuzman, Andrea C. Ornstein, Antoniu Pop, Sebastian Pop, Louis-Noël Pouchet, Alex Ramírez, David Ródenas, Erven Rohou, Ira Rosen, Uzi Shvadron, Konrad Trifunovic, Ayal Zaks:
ACOTES Project: Advanced Compiler Technologies for Embedded Streaming. Int. J. Parallel Program. 39(3): 397-450 (2011)

Conference and Workshop Papers

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2023
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Felippe Vieira Zacarias, Paul M. Carpenter, Vinicius Petrucci:
Dynamic Memory Provisioning on Disaggregated HPC Systems. SC Workshops 2023: 973-982
2022
[c42]
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Jimmy Aguilar Mena, Omar Shaaban, Vicenç Beltran, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta Mancho:
OmpSs-2@Cluster: Distributed Memory Execution of Nested OpenMP-style Tasks. Euro-Par 2022: 319-334
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Jimmy Aguilar Mena, Omar Shaaban, Victor Lopez, Marta Garcia, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta:
Transparent load balancing of MPI programs using [email protected] and DLB. ICPP 2022: 55:1-55:11
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Omar Shaaban, Jimmy Aguilar Mena, Vicenç Beltran, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta Mancho:
Automatic aggregation of subtask accesses for nested OpenMP-style tasks. SBAC-PAD 2022: 315-325
2021
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Felippe Vieira Zacarias, Paul M. Carpenter, Vinicius Petrucci:
Improving HPC System Throughput and Response Time using Memory Disaggregation. ICPADS 2021: 283-290
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Felippe Vieira Zacarias, Paul M. Carpenter, Vinicius Petrucci:
Memory Demands in Disaggregated HPC: How Accurate Do We Need to Be? PMBS 2021: 1-6
2020
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Felippe Vieira Zacarias, Rajiv Nishtala, Paul M. Carpenter:
Contention-aware application performance prediction for disaggregated memory systems. CF 2020: 49-59
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Rajiv Nishtala, Vinicius Petrucci, Paul M. Carpenter, Magnus Själander:
Twig: Multi-Agent Task Management for Colocated Latency-Critical Cloud Services. HPCA 2020: 167-179
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Isaac Boixaderas, Darko Zivanovic, Sergi Moré, Javier Bartolome, David Vicente, Marc Casas, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
Cost-aware prediction of uncorrected DRAM errors in the field. SC 2020: 61
2019
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Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter:
SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server. IPDPS Workshops 2019: 911-920
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Darko Zivanovic, Pouya Esmaili-Dokht, Sergi Moré, Javier Bartolome, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
DRAM errors in the field: a statistical approach. MEMSYS 2019: 69-84
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Felippe Vieira Zacarias, Vinicius Petrucci, Rajiv Nishtala, Paul M. Carpenter, Daniel Mossé:
Intelligent Colocation of Workloads for Enhanced Server Efficiency. SBAC-PAD 2019: 120-127
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Milan Radulovic, Rommel Sánchez Verdejo, Paul M. Carpenter, Petar Radojkovic, Bruce L. Jacob, Eduard Ayguadé:
PROFET: Modeling System Performance and Energy Without Simulating the CPU. SIGMETRICS (Abstracts) 2019: 71-72
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Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter:
Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers. ISC Workshops 2019: 13-24
2018
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Milan Radulovic, Kazi Asifuzzaman, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
HPC Benchmarking: Scaling Right and Looking Beyond the Average. Euro-Par 2018: 135-146
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Milan Radulovic, Kazi Asifuzzaman, Darko Zivanovic, Nikola Rajovic, Guillaume Colin de Verdière, Dirk Pleiter, Manolis Marazakis, Nikolaos D. Kallimanis, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
Mainstream vs. Emerging HPC: Metrics, Trade-Offs and Lessons Learned. SBAC-PAD 2018: 250-257
2017
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Renan Fischer e Silva, Paul M. Carpenter:
High Throughput and Low Latency on Hadoop Clusters Using Explicit Congestion Notification: The Untold Truth. CLUSTER 2017: 349-353
[c26]
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Gina Alioto, Paul M. Carpenter, Adrián Cristal, Osman S. Unsal, Marcus Leich, Christophe Avare:
RETHINK big: European roadmap for hardware anc networking optimizations for big data. DATE 2017: 121-126
[c25]
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Alvise Rigo, Christian Pinto, Kevin Pouget, Daniel Raho, Denis Dutoit, Pierre-Yves Martinez, Chris Doran, Luca Benini, Iakovos Mavroidis, Manolis Marazakis, Valeria Bartsch, Guy Lonsdale, Antoniu Pop, John Goodacre, Annaik Colliot, Paul M. Carpenter, Petar Radojkovic, Dirk Pleiter, Dominique Drouin, Benoît Dupont de Dinechin:
Paving the Way Towards a Highly Energy-Efficient and Highly Integrated Compute Node for the Exascale Revolution: The ExaNoDe Approach. DSD 2017: 486-493
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Rajiv Nishtala, Paul M. Carpenter, Vinicius Petrucci, Xavier Martorell:
Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads. HPCA 2017: 409-420
[c23]
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Luis A. Garrido, Paul M. Carpenter:
vMCA: Memory Capacity Aggregation and Management in Cloud Environments. ICPADS 2017: 674-683
[c22]
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Ugljesa Milic, Alejandro Rico, Paul M. Carpenter, Alex Ramírez:
Sharing the instruction cache among lean cores on an asymmetric CMP for HPC applications. ISPASS 2017: 3-12
[c21]
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Renan Fischer e Silva, Paul M. Carpenter:
Interconnect Energy Savings and Lower Latency Networks in Hadoop Clusters: The Missing Link. LCN 2017: 514-517
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Luis A. Garrido, Paul M. Carpenter:
Aggregating and Managing Memory Across Computing Nodes in Cloud Environments. ISC Workshops 2017: 642-652
2016
[c19]
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Manolis Marazakis, John Goodacre, Didier Fuin, Paul M. Carpenter, John Thomson, Emil Matús, Antimo Bruno, Per Stenström, Jérôme Martin, Yves Durand, Isabelle Dor:
EUROSERVER: Share-anything scale-out micro-server design. DATE 2016: 678-683
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Ugljesa Milic, Paul M. Carpenter, Alejandro Rico, Alex Ramírez:
Rebalancing the core front-end through HPC code analysis. IISWC 2016: 128-137
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Renan Fischer e Silva, Paul M. Carpenter:
Controlling Network Latency in Mixed Hadoop Clusters: Do We Need Active Queue Management? LCN 2016: 415-423
[c16]
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Darko Zivanovic, Milan Radulovic, Germán Llort, David Zaragoza, Janko Strassburg, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
Large-Memory Nodes for Energy Efficient High-Performance Computing. MEMSYS 2016: 3-9
2015
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Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez:
Exploring multiple sleep modes in on/off based energy efficient HPC networks. ICCD 2015: 54-61
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Branimir Dickov, Paul M. Carpenter, Miquel Pericàs, Eduard Ayguadé:
Self-Tuned Software-Managed Energy Reduction in InfiniBand Links. ICPADS 2015: 649-657
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Renan Fischer e Silva, Paul M. Carpenter:
Exploring interconnect energy savings under east-west traffic pattern of mapreduce clusters. LCN 2015: 10-18
2014
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Yves Durand, Paul M. Carpenter, Stefano Adami, Angelos Bilas, Denis Dutoit, Alexis Farcy, Georgi Gaydadjiev, John Goodacre, Manolis Katevenis, Manolis Marazakis, Emil Matús, Iakovos Mavroidis, John Thomson:
EUROSERVER: Energy Efficient Node for European Micro-Servers. DSD 2014: 206-213
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Branimir Dickov, Miquel Pericàs, Paul M. Carpenter, Nacho Navarro, Eduard Ayguadé:
Software-Managed Power Reduction in Infiniband Links. ICPP 2014: 311-320
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Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez:
A performance perspective on energy efficient HPC links. ICS 2014: 313-322
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Branimir Dickov, Miquel Pericàs, Paul M. Carpenter, Nacho Navarro, Eduard Ayguadé:
Analyzing Performance Improvements and Energy Savings in Infiniband Architecture using Network Compression. SBAC-PAD 2014: 73-80
2013
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Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez:
Power/performance evaluation of energy efficient Ethernet (EEE) for High Performance Computing. ISPASS 2013: 205-214
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Nikola Rajovic, Paul M. Carpenter, Isaac Gelado, Nikola Puzovic, Alex Ramírez, Mateo Valero:
Supercomputing with commodity CPUs: are mobile SoCs ready for HPC? SC 2013: 40:1-40:12
2012
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Petar Radojkovic, Paul M. Carpenter, Miquel Moretó, Alex Ramírez, Francisco J. Cazorla:
Kernel Partitioning of Streaming Applications: A Statistical Approach to an NP-complete Problem. MICRO 2012: 401-412
2010
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Paul M. Carpenter, Alex Ramírez, Eduard Ayguadé:
Starsscheck: A Tool to Find Errors in Task-Based Parallel Programs. Euro-Par (1) 2010: 2-13
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Paul M. Carpenter, Alex Ramírez, Eduard Ayguadé:
Buffer Sizing for Self-timed Stream Programs on Heterogeneous Distributed Memory Multiprocessors. HiPEAC 2010: 96-110
2009
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Paul M. Carpenter, Alex Ramírez, Eduard Ayguadé:
Mapping stream programs onto heterogeneous multiprocessor systems. CASES 2009: 57-66
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Paul M. Carpenter, Alex Ramírez, Eduard Ayguadé:
The Abstract Streaming Machine: Compile-Time Performance Modelling of Stream Programs on Heterogeneous Multiprocessors. SAMOS 2009: 12-23
2007
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Paul M. Carpenter, David Ródenas, Xavier Martorell, Alex Ramírez, Eduard Ayguadé:
A Streaming Machine Description and Programming Model. SAMOS 2007: 107-116

Informal and Other Publications

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2021
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Felippe Vieira Zacarias, Vinicius Petrucci, Rajiv Nishtala, Paul M. Carpenter, Daniel Mossé:
Intelligent colocation of HPC workloads. CoRR abs/2103.09019 (2021)
2019
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Rajiv Nishtala, Vinicius Petrucci, Paul M. Carpenter, Xavier Martorell:
Hurry-up: Scaling Web Search on Big/Little Multi-core Architectures. CoRR abs/1912.09844 (2019)

Coauthor Index

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