EDUBERROCAL.NET

PUBLICATIONS AND TALKS


Persistent Memory (PM) Storage Performance Test Specification (PTS)

E. Kim, E. Berrocal, C. Paridon, K. Orsak, T. West, A. Rudoff, B. Martin, M. Allison, S. Kumar and J. Fister, Storage Networking Industry Association, June 2023.


Understanding Data Redundancy and Sharding in DAOS

E. Berrocal, Intel Developer Zone, July 2022.


A Hands-on Introduction to the DAOS File System Library

E. Berrocal, Intel Developer Zone, December 2021.


Unlock the Power of DAOS in Python with PyDAOS

E. Berrocal and E. Hayer, Intel Developer Zone, November 2021.


Error Recovery in Persistent Memory Applications

E. Berrocal, Intel Developer Zone, April 2020.


How to Securely Erase Data on Intel(R) Optane(TM) Persistent Memory

E. Berrocal, Intel Developer Zone, March 2020.


Speeding Up Apache Spark Workloads on Intel(R) Optane(TM) DC Persistent Memory

K. Lyon and E. Berrocal, Intel Developer Zone, December 2019.


Speeding Up I/O Workloads with Intel(R) Optane(TM) DC Persistent Memory Modules

E. Berrocal, Intel Developer Zone, September 2019.


Code Sample: Implement a Persistent Memory Cache-A Simple Find Example

E. Berrocal, Intel Developer Zone, June 2019.


Debugging Techniques for Persistent Memory Programming (talk)

E. Berrocal, SPDK, PMDK, and Intel(R) Vtune(TM) Amplifier Summit, April 2019.


Discover Persistent Memory Programming Errors with Pmemcheck

E. Berrocal, Intel Developer Zone, December 2018.


Recovery and Fault-Tolerance for Persistent Memory Pools Using Persistent Memory Development Kit (PMDK)

E. Berrocal, Intel Developer Zone, September 2018.


Introducing the Low Level Persistent Library (LLPL) for Java*

E. Berrocal, Intel Developer Zone, July 2018.


Making NoSQL Databases Persistent-Memory-Aware: The Apache Cassandra* Example

E. Berrocal, Intel Developer Zone, July 2018.


Code Sample: Introduction to Java* API for Persistent Memory Programming

E. Berrocal, Intel Developer Zone, May 2018.


Find Your Leaked Persistent Memory Objects Using the Persistent Memory Development Kit (PMDK)

E. Berrocal, Intel Developer Zone, March 2018.


Boost Your C++ Applications with Persistent Memory - A Simple grep Example

E. Berrocal, Intel Developer Zone, January 2018.


Enhancing High-Performance Computing with Persistent Memory Technology

E. Berrocal, Intel Developer Zone, December 2017.


Introduction to Intel(R) 3D XPoint(TM) Large Capacity Persistent Memory and its Open Source API (talk)

U. Upadhyayula, and E. Berrocal, Intel HPC Developer Conference, November 2017.


Implementing a Fault-Tolerant Algorithm for Persistent Memory Using PMDK - A MapReduce Example

E. Berrocal, Intel Developer Zone, October 2017.


Toward General Software Level Silent Data Corruption Detection for Parallel Applications

E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, IEEE Transactions on Parallel and Distributed Systems (issue 99), doi:10.1109/TPDS.2017.2735971, 2017.


Topology mapping of irregular parallel applications on torus-connected supercomputers

J. Wu, X. Xiong, E. Berrocal, J. Wang, and Z. Lan, The Journal of Supercomputing (2016), doi:10.1007/s11227-016-1876-7, 2016.


Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications

E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, Proc. of EuroPar'16, 2016.


On Performance Resilient Scheduling for Scientific Workflows in HPC Systems with Constrained Storage Resources

Y. Wang, W. Shi, and E. Berrocal, 6th Workshop on Scientific Cloud Computing (part of Proc. of HPDC'15), 2015.


SPEaR: Toward Smart HPC Through Active Learning and Intelligent Scheduling

E. Berrocal, L. Yu, S. Wallace, X. Yang, Z. Zhou, X. Wang, and Z. Lan, Proc. of HPDC'15 (poster), 2015.


Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications

E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, Proc. of HPDC'15 (short paper), 2015.


An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications

S. Di, E. Berrocal, and F. Cappello, Proc. of CCGRID'15, 2015.


Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications

E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, Report, Argonne National Laboratory, 2014.


Exploring Void Search for Fault Detection on Extreme Scale Systems

E. Berrocal, L. Yu, S. Wallace, M. E. Papka, and Z. Lan, (Best Paper Award), Proc. of IEEE Cluster'14, 2014.


High-throughput translational medicine: challenges and solutions

D. Sulakhe, S. Balasubramanian, B. Xie, E. Berrocal, B. Feng, A. Taylor, B. Chitturi, U. Dave, G. Agam, J. Xu, D. Bornigen, I. Dubchak, T. Conrad Gilliam, and M. Maltsev, in book: Systems Analysis of Human Multigene Disorders, Pages 39-67 (chapter 3), December 2013.


Lynx: a database and knowledge extraction engine for integrative medicine

D. Sulakhe, S. Balasubramanian, B. Xie, B. Feng, A. Taylor, S. Wang, E. Berrocal, U. Dave, J. Xu, D. Bornigen, T. Conrad Gilliam, and M. Maltsev, Nucleic Acids Research, December 2013.


Toward Petascale Cosmology Simulations

J. Wu, Y. Yu, E. Berrocal, Z. Lan, 2nd Annual Greater Chicago Area Systems Research Workshop (GCASR) (poster), May 2013.

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