All papers published in past two days:
Category: Performance
#Performance
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
📗 PDF
AI Python & arXiv Channel
Category: Performance
#Performance
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
AI Python & arXiv Channel
Latest Published Articles:
Performance
#Performance
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
📗 PDF
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
📗 PDF
🗒 Improving rewards in overloaded real-time systems
👥 Sathish Gopalakrishnan
📗 PDF
🗒 Confidence Interval Estimators for MOS Values
👥 Tobias Hossfeld, Poul E. Heegaard, Martin Varela, Lea Skorin-Kapov
📗 PDF
🗒 Maximizing Service Reward for Queues with Deadlines
👥 Li-on Raviv, Amir Leshem
📗 PDF
🗒 Evaluating Impact of Human Errors on the Availability of Data Storage Systems
👥 Mostafa Kishani, Reza Eftekhari, Hossein Asadi
📗 PDF
🗒 Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems
👥 Mostafa Kishani, Hossein Asadi
📗 PDF
🗒 PAM: When Overloaded, Push Your Neighbor Aside!
👥 Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang, Hongxin Hu
📗 PDF
🗒 An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes
👥 K. Kerobyan, R. Covington, R. Kerobyan, K. Enakoutsa
📗 PDF
🗒 Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe
👥 Khanik Kerobyan, Ruben Kerobyan, Koffi Enakoutsa
📗 PDF
🗒 DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms
👥 Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
📗 PDF
🗒 Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
👥 Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba
📗 PDF
🗒 SRPT for Multiserver Systems
👥 Isaac Grosof, Ziv Scully, Mor Harchol-Balter
📗 PDF
🗒 Optimal Scheduling and Exact Response Time Analysis for Multistage Jobs
👥 Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf
📗 PDF
🗒 Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance
👥 Julien Floquet, Richard Combes, Zwi Altman
📗 PDF
#Performance
AI Python & arXiv Channel
Performance
#Performance
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
🗒 Improving rewards in overloaded real-time systems
👥 Sathish Gopalakrishnan
🗒 Confidence Interval Estimators for MOS Values
👥 Tobias Hossfeld, Poul E. Heegaard, Martin Varela, Lea Skorin-Kapov
🗒 Maximizing Service Reward for Queues with Deadlines
👥 Li-on Raviv, Amir Leshem
🗒 Evaluating Impact of Human Errors on the Availability of Data Storage Systems
👥 Mostafa Kishani, Reza Eftekhari, Hossein Asadi
🗒 Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems
👥 Mostafa Kishani, Hossein Asadi
🗒 PAM: When Overloaded, Push Your Neighbor Aside!
👥 Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang, Hongxin Hu
🗒 An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes
👥 K. Kerobyan, R. Covington, R. Kerobyan, K. Enakoutsa
🗒 Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe
👥 Khanik Kerobyan, Ruben Kerobyan, Koffi Enakoutsa
🗒 DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms
👥 Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
🗒 Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
👥 Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba
🗒 SRPT for Multiserver Systems
👥 Isaac Grosof, Ziv Scully, Mor Harchol-Balter
🗒 Optimal Scheduling and Exact Response Time Analysis for Multistage Jobs
👥 Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf
🗒 Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance
👥 Julien Floquet, Richard Combes, Zwi Altman
#Performance
AI Python & arXiv Channel
Latest Published Articles:
Performance
#Performance
🗒 Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito
👥 Nicholas Sim
📗 PDF
🗒 Forest Packing: Fast, Parallel Decision Forests
👥 James Browne, Tyler Tomita, Disa Mhembere, Randal Burns, Joshua Vogelstein
📗 PDF
🗒 A model-driven approach for a new generation of adaptive libraries
👥 Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
📗 PDF
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
📗 PDF
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
📗 PDF
🗒 Improving rewards in overloaded real-time systems
👥 Sathish Gopalakrishnan
📗 PDF
🗒 Confidence Interval Estimators for MOS Values
👥 Tobias Hossfeld, Poul E. Heegaard, Martin Varela, Lea Skorin-Kapov
📗 PDF
🗒 Maximizing Service Reward for Queues with Deadlines
👥 Li-on Raviv, Amir Leshem
📗 PDF
🗒 Evaluating Impact of Human Errors on the Availability of Data Storage Systems
👥 Mostafa Kishani, Reza Eftekhari, Hossein Asadi
📗 PDF
🗒 Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems
👥 Mostafa Kishani, Hossein Asadi
📗 PDF
🗒 PAM: When Overloaded, Push Your Neighbor Aside!
👥 Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang, Hongxin Hu
📗 PDF
🗒 An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes
👥 K. Kerobyan, R. Covington, R. Kerobyan, K. Enakoutsa
📗 PDF
🗒 Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe
👥 Khanik Kerobyan, Ruben Kerobyan, Koffi Enakoutsa
📗 PDF
🗒 DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms
👥 Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
📗 PDF
🗒 Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
👥 Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba
📗 PDF
#Performance
AI Python & arXiv Channel
Performance
#Performance
🗒 Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito
👥 Nicholas Sim
🗒 Forest Packing: Fast, Parallel Decision Forests
👥 James Browne, Tyler Tomita, Disa Mhembere, Randal Burns, Joshua Vogelstein
🗒 A model-driven approach for a new generation of adaptive libraries
👥 Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
🗒 Improving rewards in overloaded real-time systems
👥 Sathish Gopalakrishnan
🗒 Confidence Interval Estimators for MOS Values
👥 Tobias Hossfeld, Poul E. Heegaard, Martin Varela, Lea Skorin-Kapov
🗒 Maximizing Service Reward for Queues with Deadlines
👥 Li-on Raviv, Amir Leshem
🗒 Evaluating Impact of Human Errors on the Availability of Data Storage Systems
👥 Mostafa Kishani, Reza Eftekhari, Hossein Asadi
🗒 Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems
👥 Mostafa Kishani, Hossein Asadi
🗒 PAM: When Overloaded, Push Your Neighbor Aside!
👥 Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang, Hongxin Hu
🗒 An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes
👥 K. Kerobyan, R. Covington, R. Kerobyan, K. Enakoutsa
🗒 Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe
👥 Khanik Kerobyan, Ruben Kerobyan, Koffi Enakoutsa
🗒 DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms
👥 Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
🗒 Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
👥 Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba
#Performance
AI Python & arXiv Channel
5 of Latest Published Articles:
Performance
#Performance
🗒 Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito
👥 Nicholas Sim
📗 PDF
🗒 Forest Packing: Fast, Parallel Decision Forests
👥 James Browne, Tyler M. Tomita, Disa Mhembere, Randal Burns, Joshua T. Vogelstein
📗 PDF
🗒 A model-driven approach for a new generation of adaptive libraries
👥 Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
📗 PDF
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
📗 PDF
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
📗 PDF
#Performance
AI Python & arXiv Channel
Performance
#Performance
🗒 Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito
👥 Nicholas Sim
🗒 Forest Packing: Fast, Parallel Decision Forests
👥 James Browne, Tyler M. Tomita, Disa Mhembere, Randal Burns, Joshua T. Vogelstein
🗒 A model-driven approach for a new generation of adaptive libraries
👥 Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
🗒 Scalable load balancing in networked systems: A survey of recent advances
👥 Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee
🗒 Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
👥 Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
#Performance
AI Python & arXiv Channel
5 of Latest Published Articles:
Performance
#Performance
🗒 Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
👥 Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
📗 PDF
🗒 A Survey on Agent-based Simulation using Hardware Accelerators
👥 Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois Knoll
📗 PDF
🗒 Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption
👥 Ricardo Nobre, Luís Reis, João M. P. Cardoso
📗 PDF
🗒 Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures
👥 Jérôme Frisch, Ralf-Peter Mundani
📗 PDF
🗒 Stress-testing memcomputing on hard combinatorial optimization problems
👥 Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra
📗 PDF
#Performance
AI Python & arXiv Channel
Performance
#Performance
🗒 Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
👥 Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
🗒 A Survey on Agent-based Simulation using Hardware Accelerators
👥 Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois Knoll
🗒 Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption
👥 Ricardo Nobre, Luís Reis, João M. P. Cardoso
🗒 Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures
👥 Jérôme Frisch, Ralf-Peter Mundani
🗒 Stress-testing memcomputing on hard combinatorial optimization problems
👥 Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra
#Performance
AI Python & arXiv Channel
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🗒 A Comparative Study of Containers and Virtual Machines in Big Data Environment
👥 Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou
📗 PDF
🗒 Restructuring Batch Normalization to Accelerate CNN Training
👥 Daejin Jung, Wonkyung Jung, and Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn
📗 PDF
🗒 Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
👥 Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
📗 PDF
🗒 A Survey on Agent-based Simulation using Hardware Accelerators
👥 Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois Knoll
📗 PDF
🗒 Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption
👥 Ricardo Nobre, Luís Reis, João M. P. Cardoso
📗 PDF
#Performance
AI Python & arXiv Channel
Performance
#Performance
🗒 A Comparative Study of Containers and Virtual Machines in Big Data Environment
👥 Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou
🗒 Restructuring Batch Normalization to Accelerate CNN Training
👥 Daejin Jung, Wonkyung Jung, and Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn
🗒 Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
👥 Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
🗒 A Survey on Agent-based Simulation using Hardware Accelerators
👥 Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois Knoll
🗒 Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption
👥 Ricardo Nobre, Luís Reis, João M. P. Cardoso
#Performance
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Performance
#Performance
🗒 Approximate Bayesian inference with queueing networks and coupled jump processes
👥 Iker Perez, Giuliano Casale
🗒 A refined mean field approximation of synchronous discrete-time population models
👥 Nicolas Gast, Diego Latella, Mieke Massink
🗒 A Queuing Model for CPU Functional Unit and Issue Queue Configuration
👥 Shane Carroll, Wei-Ming Ling
🗒 Improving the Performance of WLANs by Reducing Unnecessary Active Scans
👥 Dheryta Jaisinghani, Vinayak Naik, Sanjit K. Kaul, Rajesh Balan, Sumit Roy
🗒 Evaluation as a Service architecture and crowdsourced problems solving implemented in Optil.io platform
👥 Szymon Wasik, Maciej Antczak, Jan Badura, Artur Laskowski
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AI Python & arXiv Channel
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