Bi-objective scheduling algorithms for optimizing makespan and reliability on heterogeneous systems. - Jack J. Dongarra; Emmanuel Jeannot; Erik Saule; Zhiao Shi (SPAA, 2007)

Bi-objective Approximation Scheme for Makespan and Reliability Optimization on Uniform Parallel Machines. - Emmanuel Jeannot; Erik Saule; Denis Trystram (Euro-Par, 2008)

Scheduling with storage constraints. - Erik Saule; Pierre-François Dutot; Grégory Mounié (IPDPS, 2008)

Algorithmes d'approximation pour l'ordonnancement multi-objectif. Application aux systèmes parallèles et embarqués. (Approximation algorithms for multi-objective scheduling. Application to parallel and embedded systems). - Erik Saule (2008)

Multi-Objective Scheduling. - Pierre-François Dutot; Krzysztof Rzadca; Erik Saule; Denis Trystram (Introduction to Scheduling, 2009)

PaSTeL: Parallel Runtime and Algorithms for Small Datasets. - Brice Videau; Erik Saule; Jean-François Méhaut (CISIS, 2009)

Multi-users scheduling in parallel systems. - Erik Saule; Denis Trystram (IPDPS, 2009)

Analyzing scheduling with transient failures. - Erik Saule; Denis Trystram (Inf. Process. Lett., 2009)

Reliability versus performance for critical applications. - Alain Girault; Erik Saule; Denis Trystram (J. Parallel Distributed Comput., 2009)

Automatic dataflow application tuning for heterogeneous systems. - Timothy D. R. Hartley; Erik Saule; Ümit V. Çatalyürek (HiPC, 2010)

Scheduling instructions on hierarchical machines. - Florent Blachot; Guillaume Huard; Johnatan E. Pecero; Erik Saule; Denis Trystram (IPDPS Workshops, 2010)

A Moldable Online Scheduling Algorithm and Its Application to Parallel Short Sequence Mapping. - Erik Saule; Doruk Bozdag; Ümit V. Çatalyürek (JSSPP, 2010)

Improving graph coloring on distributed-memory parallel computers. - Ahmet Erdem Sariyüce; Erik Saule; Ümit V. Çatalyürek (HiPC, 2011)

Partitioning Spatially Located Computations Using Rectangles. - Erik Saule; Erdeniz Ö. Bas; Ümit V. Çatalyürek (IPDPS, 2011)

Fast Recommendation on Bibliographic Networks. - Onur Kucuktunc; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (ASONAM, 2012)

An Out-of-Core Eigensolver on SSD-equipped Clusters. - Zheng Zhou 003; Erik Saule; Hasan Metin Aktulga; Chao Yang 001; Esmond G. Ng; Pieter Maris; James P. Vary; Ümit V. Çatalyürek (CLUSTER, 2012)

An Out-of-Core Dataflow Middleware to Reduce the Cost of Large Scale Iterative Solvers. - Zheng Zhou 003; Erik Saule; Hasan Metin Aktulga; Chao Yang 001; Esmond G. Ng; Pieter Maris; James P. Vary; Ümit V. Çatalyürek (ICPP Workshops, 2012)

Scalable Hybrid Implementation of Graph Coloring Using MPI and OpenMP. - Ahmet Erdem Sariyüce; Erik Saule; Ümit V. Çatalyürek (IPDPS Workshops, 2012)

An Early Evaluation of the Scalability of Graph Algorithms on the Intel MIC Architecture. - Erik Saule; Ümit V. Çatalyürek (IPDPS Workshops, 2012)

Recommendation on Academic Networks using Direction Aware Citation Analysis - Onur Küçüktunç; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (CoRR, 2012)

Shattering and Compressing Networks for Centrality Analysis - Ahmet Erdem Sariyüce; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (CoRR, 2012)

Optimizing performance and reliability on heterogeneous parallel systems: Approximation algorithms and heuristics. - Emmanuel Jeannot; Erik Saule; Denis Trystram (J. Parallel Distributed Comput., 2012)

Optimizing the stretch of independent tasks on a cluster: From sequential tasks to moldable tasks. - Erik Saule; Doruk Bozdag; Ümit V. Çatalyürek (J. Parallel Distributed Comput., 2012)

Load-balancing spatially located computations using rectangular partitions. - Erik Saule; Erdeniz Ö. Bas; Ümit V. Çatalyürek (J. Parallel Distributed Comput., 2012)

Improving performance of adaptive component-based dataflow middleware. - Timothy D. R. Hartley; Erik Saule; Ümit V. Çatalyürek (Parallel Comput., 2012)

Betweenness centrality on GPUs and heterogeneous architectures. - Ahmet Erdem Sariyüce; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (GPGPU@ASPLOS, 2013)

Towards a personalized, scalable, and exploratory academic recommendation service. - Onur Küçüktunç; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (ASONAM, 2013)

Masher: Mapping Long(er) Reads with Hash-based Genome Indexing on GPUs. - Anas Abu-Doleh; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (BCB, 2013)

Incremental algorithms for closeness centrality. - Ahmet Erdem Sariyüce; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (IEEE BigData, 2013)

STREAMER: A distributed framework for incremental closeness centrality computation. - Ahmet Erdem Sariyüce; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (CLUSTER, 2013)

TheAdvisor: a webservice for academic recommendation. - Onur Küçüktunç; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (JCDL, 2013)

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi. - Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (PPAM (1), 2013)

Shattering and Compressing Networks for Betweenness Centrality. - Ümit V. Çatalyürek; Kamer Kaya; Ahmet Erdem Sariyüce; Erik Saule (SDM, 2013)

Diversified recommendation on graphs: pitfalls, measures, and algorithms. - Onur Küçüktunç; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (WWW, 2013)

Incremental Algorithms for Network Management and Analysis based on Closeness Centrality - Ahmet Erdem Sariyüce; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (CoRR, 2013)

A survey of pipelined workflow scheduling: Models and algorithms. - Anne Benoit; Ümit V. Çatalyürek; Yves Robert; Erik Saule (ACM Comput. Surv., 2013)

Fast recommendation on bibliographic networks with sparse-matrix ordering and partitioning. - Onur Küçüktunç; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (Soc. Netw. Anal. Min., 2013)

Wide-area overlay networking to manage science DMZ accelerated flows. - Prasad Calyam; Alex Berryman; Erik Saule; Hari Subramoni; Paul Schopis; Gordon Springer; Ümit V. Çatalyürek; Dhabaleswar K. Panda 001 (ICNC, 2014)

Acceleration of derivative calculations with application to radial basis function: finite-differences on the intel mic architecture. - Gordon Erlebacher; Erik Saule; Natasha Flyer; Evan F. Bollig (ICS, 2014)

Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures. - Ahmet Erdem Sariyüce; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (IPDPS Workshops, 2014)

On Distributed Graph Coloring with Iterative Recoloring. - Ahmet Erdem Sariyüce; Erik Saule; Ümit V. Çatalyürek (CoRR, 2014)

Exploring the future of out-of-core computing with compute-local non-volatile memory. - Myoungsoo Jung; Ellis Herbert Wilson III; Wonil Choi; John Shalf; Hasan Metin Aktulga; Chao Yang 001; Erik Saule; Ümit V. Çatalyürek; Mahmut T. Kandemir (Sci. Program., 2014)

Diversifying Citation Recommendations. - Onur Küçüktunç; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (ACM Trans. Intell. Syst. Technol., 2014)

Replicated Data Placement for Uncertain Scheduling. - Manmohan Chaubey; Erik Saule (IPDPS Workshops, 2015)

Considerations on Distributed Load Balancing for Fully Heterogeneous Machines: Two Particular Cases. - Nathanael Cheriere; Erik Saule (IPDPS Workshops, 2015)

Regularizing graph centrality computations. - Ahmet Erdem Sariyüce; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (J. Parallel Distributed Comput., 2015)

Incremental closeness centrality in distributed memory. - Ahmet Erdem Sariyüce; Erik Saule; Kamer Kaya; Ümit V. Çatalyürek (Parallel Comput., 2015)

An Out-of-Core Task-based Middleware for Data-Intensive Scientific Computing. - Erik Saule; Hasan Metin Aktulga; Chao Yang 001; Esmond G. Ng; Ümit V. Çatalyürek (Handbook on Data Centers, 2015)

Online Non-preemptive Scheduling to Optimize Max Stretch on a Single Machine. - Pierre-François Dutot; Erik Saule; Abhinav Srivastav; Denis Trystram (COCOON, 2016)

Message from the HCW Program Committee Chair. - Erik Saule (IPDPS Workshops, 2016)

HCW Introduction. - Denis Trystram; Erik Saule (IPDPS Workshops, 2016)

Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei. - Tomás Dytrych; Pieter Maris; Kristina D. Launey; Jerry P. Draayer; James P. Vary; Daniel Langr; Erik Saule; Mark A. Caprio; Ümit V. Çatalyürek; Masha Sosonkina (Comput. Phys. Commun., 2016)

An Analysis of Citation Recommender Systems: Beyond the Obvious. - Haofeng Jia; Erik Saule (ASONAM, 2017)

Parallel Space-Time Kernel Density Estimation. - Erik Saule; Dinesh Panchananam; Alexander Hohl; Wenwu Tang; Eric Delmelle (ICPP, 2017)

Greed Is Good: Parallel Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures. - Mustafa Kemal Tas; Kamer Kaya; Erik Saule (ICPP, 2017)

Message from the HCW General Chair. - Erik Saule (IPDPS Workshops, 2017)

Introduction to HCW Workshop. - Erik Saule; Emmanuel Jeannot (IPDPS Workshops, 2017)

Greed is Good: Optimistic Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures. - Mustafa Kemal Tas; Kamer Kaya; Erik Saule (CoRR, 2017)

Graph Manipulations for Fast Centrality Computation. - Ahmet Erdem Sariyüce; Kamer Kaya; Erik Saule; Ümit V. Çatalyürek (ACM Trans. Knowl. Discov. Data, 2017)

Centrality of cancer-related genes in human biological pathways: A graph analysis perspective. - Pourya Naderi Yeganeh; Erik Saule; M. Taghi Mostafavi (BIBM, 2018)

Local Is Good: A Fast Citation Recommendation Approach. - Haofeng Jia; Erik Saule (ECIR, 2018)

Experiences on Teaching Parallel and Distributed Computing for Undergraduates. - Erik Saule (IPDPS Workshops, 2018)

Visualization, Assessment and Analytics in Data Structures Learning Modules. - Matthew Mcquaigue; David Burlinson; Kalpathi R. Subramanian; Erik Saule; Jamie Payton (SIGCSE, 2018)

Addressing Overgeneration Error: An Effective and Effcient Approach to Keyphrase Extraction from Scientific Papers. - Haofeng Jia; Erik Saule (BIRNDL@SIGIR, 2018)

Graph Embedding for Citation Recommendation. - Haofeng Jia; Erik Saule (CoRR, 2018)

Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems. - Haofeng Jia; Erik Saule (CoRR, 2018)

Classifying Pedagogical Material to Improve Adoption of Parallel and Distributed Computing Topics. - Alec Goncharow; Anna Boekelheide; Matthew Mcquaigue; David Burlinson; Erik Saule; Kalpathi R. Subramanian; Jamie Payton (IPDPS Workshops, 2019)

Building Simple Games With BRIDGES. - David Burlinson; Erik Saule; Kalpathi R. Subramanian (SIGCSE, 2019)

Bringing Real-World Data and Visualizations of Student-Implemented Data Structures into Sophomore CS Courses Using BRIDGES. - Kalpathi R. Subramanian; Jamie Payton; Erik Saule (SIGCSE, 2019)

Special Issue Proposal for the Parallel Computing Journal: HeteroPar 2016 and HCW 2016 Workshops. - Loris Marchal; Erik Saule; Oliver Sinnen (Parallel Comput., 2019)

An Engaging CS1 Curriculum Using BRIDGES. - Matthew Mcquaigue; Allie Beckman; David Burlinson; Luke Sloop; Alec Goncharow; Erik Saule; Kalpathi R. Subramanian; Jamie Payton (SIGCSE, 2020)

Bringing Real-World Data, Interactive Games and Visualizations into Early CS Courses. - Kalpathi R. Subramanian; Erik Saule; Jamie Payton (SIGCSE, 2020)

Revisiting the use of graph centrality models in biological pathway analysis. - Pourya Naderi Yeganeh; Chrsitine Richardson; Erik Saule; Ann Loraine; M. Taghi Mostafavi (BioData Min., 2020)

Engaging early programming students with modern assignments using BRIDGES. - Allie Beckman; Matthew Mcquaigue; Alec Goncharow; David Burlinson; Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2020)

Using CS materials, a system to align your courses with national standards. - Erik Saule; Kalpathi R. Subramanian; Jamie Payton (J. Comput. Sci. Coll., 2020)

Real-world assignments at scale to reinforce the importance of algorithms and complexity. - Jay Strahler; Matthew Mcquaigue; Alec Goncharow; David Burlinson; Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2020)

Real-world data, games and visualizations in early CS courses using BRIDGES. - Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2020)

Real-world data, interactive games and visualizations in early CS courses using BRIDGES. - Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2020)

We Need Community Effort to Achieve PDC Adoption! - Erik Saule; Kalpathi R. Subramanian; Jamie Payton (HiPC Workshops, 2021)

Impact of AVX-512 Instructions on Graph Partitioning Problems. - Md. Maruf Hossain; Erik Saule (ICPP Workshops, 2021)

Mapping Materials to Curriculum Standards for Design, Alignment, Audit, and Search. - Alec Goncharow; Matthew Mcquaigue; Erik Saule; Kalpathi R. Subramanian; Jamie Payton; Paula Goolkasian (SIGCSE, 2021)

Some Bridges Span More than Water: Engaging High School Java Learners with Data Structure Visualizations and Real-World Data. - Kathryn Perry; Kalpathi R. Subramanian; Erik Saule (SIGCSE, 2021)

Using CS Materials, A System to Align your Courses with National Standards. - Erik Saule; Alec Goncharow; Jamie Payton (SIGCSE, 2021)

CS materials, a system to assess and align your courses to national standards. - Erik Saule; Kalpathi R. Subramanian; Jamie Payton (J. Comput. Sci. Coll., 2021)

Real-world data, games, applications and visualizations in early CS courses using BRIDGES. - Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2021)

CS-Materials: A system for classifying and analyzing pedagogical materials to improve adoption of parallel and distributed computing topics in early CS courses. - Alec Goncharow; Matthew Mcquaigue; Erik Saule; Kalpathi R. Subramanian; Paula Goolkasian; Jamie Payton (J. Parallel Distributed Comput., 2021)

Postmortem Computation of Pagerank on Temporal Graphs. - Md. Maruf Hossain; Erik Saule (ICPP, 2022)

Coloring the Vertices of 9-pt and 27-pt Stencils with Intervals. - Dante Durrman; Erik Saule (IPDPS, 2022)

High School BRIDGES: Visualizations of Data, Data Structures, and More. - Kathryn Perry; Cedric Sirianni; Owen Bechtel; Kalpathi R. Subramanian; Erik Saule (SIGCSE (2), 2022)

Improving the Structure and Content of Early CS Courses with Well Aligned, Engaging Materials. - Kalpathi R. Subramanian; Erik Saule; Jamie Payton; Matthew Mcquaigue (SIGCSE (2), 2022)

Location Based Assignments in Early CS Courses Using BRIDGES Engages Students. - Matthew Mcquaigue; Jay Strahler; Kalpathi R. Subramanian; Erik Saule; Jamie Payton (J. Comput. Sci. Coll., 2022)

Keeping up with technology: Teaching parallel, distributed, and high-performance computing. - Sushil K. Prasad; Sheikh K. Ghafoor; Martina Barnas; Felix Wolf 001; Erik Saule; Noemi Rodriguez 001; Rizos Sakellariou (J. Parallel Distributed Comput., 2022)

Optimizing the Critical Path of Distributed Dataflow Graph Algorithms. - Dante Durrman; Erik Saule (IPDPS Workshops, 2023)

Peachy Parallel Assignments (EduHPC 2023). - H. Martin Bücker; Jeremiah Corrado; Daniel Fedorin; Diego García-Álvarez; Arturo González-Escribano; John Li; Maria Pantoja; Erik Pautsch; Marieke Plesske; Marcelo Ponce; Silvio Rizzi 001; Erik Saule; et al. (SC Workshops, 2023)

Data-Driven Discovery of Anchor Points for PDC Content. - Matthew Mcquaigue; Erik Saule; Kalpathi R. Subramanian; Jamie Payton (SC Workshops, 2023)

Building Engaging Assignments for YOUR Class. - Erik Saule; Kalpathi R. Subramanian; Jamie Payton (SIGCSE (2), 2023)

Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. - Geoffrey C. Fox; Mary P. Thomas; Sajal Bhatia; Marisa Brazil; Nicole M. Gasparini; Venkatesh Mohan Merwade; Henry J. Neeman; Jeff Carver 001; Henri Casanova; Vipin Chaudhary; Dirk Colbry; Lonnie D. Crosby; et al. (CoRR, 2023)

Comparing Inexact String Matching Methods for Large Scale Entity Matching. - Davis Spradling; Erik Saule (IEEE Big Data, 2024)

Engaging CS1 Students with Audio Themed Assignments. - Matthew Mcquaigue; Mack Larson; Philip Smith; Sydney Melech; Kalpathi R. Subramanian; Erik Saule (J. Comput. Sci. Coll., 2024)

BRIDGES: Real world data, assignments and visualizations to engage and motivate CS majors. - David Burlinson; Matthew Mcquaigue; Alec Goncharow; Kalpathi R. Subramanian; Erik Saule; Jamie Payton; Paula Goolkasian (Educ. Inf. Technol., 2024)

SpMM-Bench: Performance Characterization of Sparse Formats for Sparse-Dense Matrix Multiplication. - Patrick J. Flynn; Xinyao Yi; Erik Saule; Gokcen Kestor; Yonghong Yan 001 (IPDPS (Workshops), 2025)

2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC. - Abani K. Patra; Mary P. Thomas; Elias Bou-Harb; Jeffrey C. Carver; Yuebin Guo; Ratnesh Kumar; Julien Langou; Guoyu Lu; Vivak Patel; Marianna Safronova; Isla Simpson; Dhruva Chakravorty; et al. (CoRR, 2025)