Randal C. Burns

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 36

Top Venues

Publications

Brian Wheatman, Meghana Madhyastha, Randal C. Burns
Masked Matrix Multiplication for Emergent Sparsity. CoRR (2024)
Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. PPoPP (2024)
Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) (2024)
Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. CoRR (2024)
Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns
T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. ICDE (2024)
Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. CoRR (2023)
Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
Optimizing Search Layouts in Packed Memory Arrays. ALENEX (2023)
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC (2023)
Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS (2023)
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
Prospective Learning: Principled Extrapolation to the Future. CoLLAs (2023)
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR (2023)
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
Prospective Learning: Back to the Future. CoRR (2022)
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. KDD (2021)
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. CoRR (2020)
Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
Geodesic Forests. KDD (2020)
Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21 (2020)
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
Agni: An Efficient Dual-access File System over Object Storage. SoCC (2019)
Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein
Geodesic Learning via Unsupervised Decision Forests. CoRR (2019)
James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns
Forest Packing: Fast Parallel, Decision Forests. SDM (2019)
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
The Case for Dual-access File Systems over Object Storage. HotStorage (2019)
Kunal Lillaney, Randal C. Burns, David Pease, Vasily Tarasov
Agni: An Efficient Dual-access File System over Object Storage. SoCC (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR (2019)
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
Towards Marrying Files to Objects. CoRR (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR (2019)
Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
FlashR: parallelize and scale R for machine learning using SSDs. PPOPP (2018)
James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein
Forest Packing: Fast, Parallel Decision Forests. CoRR (2018)
Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns
Building NDStore Through Hierarchical Storage Management and Microservice Processing. eScience (2018)
Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. 120 (2018)
Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay
Extreme Event Analysis in Next Generation Simulation Architectures. ISC (2017)
Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. 28 (5) (2017)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC (2017)
David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545 (7654) (2017)
Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR (2016)
Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR (2016)
Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR (2016)
Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR (2016)
Da Zheng, Randal C. Burns, Alexander S. Szalay
Optimize Unsynchronized Garbage Collection in an SSD Array. CoRR (2015)
Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST (2015)
Zaoxing Liu, Nikita Ivkin, Lin Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang
Streaming Algorithms for Halo Finders. e-Science (2015)
William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC (2015)
Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks. CoRR (2015)
Kalin Kanov, Randal C. Burns
Particle tracking in open simulation laboratories. SC (2015)
Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu, Gregory L. Eyink
The Johns Hopkins Turbulence Databases: An Open Simulation Laboratory for Turbulence Research. Comput. Sci. Eng. 17 (5) (2015)
Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu
Efficient evaluation of threshold queries of derived fields in a numerical simulation database. EDBT (2015)
William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9 (2014)
Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR (2014)
Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR (2014)
Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe
Active Community Detection in Massive Graphs. CoRR (2014)
Da Zheng, Disa Mhembere, Randal C. Burns, Alexander S. Szalay
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. CoRR (2014)
William R. Gray Roncal, Dean Kleissas, Joshua T. Vogelstein, Priya Manavalan, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR (2014)
Michael M. Kazhdan, Randal C. Burns, Bobby Kasthuri, Jeff Lichtman, R. Jacob Vogelstein, Joshua T. Vogelstein
Gradient-Domain Processing for Large EM Image Stacks. CoRR (2013)
Daniel Crankshaw, Randal C. Burns, Bridget Falck, Tamas Budavari, Alexander S. Szalay, Jie Wang
Inverted indices for particle tracking in petascale cosmological simulations. SSDBM (2013)
Gregory L. Eyink, Ethan Vishniac, Cristian Constantin Lalescu, Hussein Aluie, Kalin Kanov, Kai Bürger, Randal C. Burns, Charles Meneveau, Alexander S. Szalay
Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence. Nat. 497 (7450) (2013)
Da Zheng, Randal C. Burns, Alexander S. Szalay
Toward millions of file system IOPS on low-cost, commodity hardware. SC (2013)
Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns
Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP (2013)
William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. CoRR (2013)
Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR (2013)
William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean M. Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. GlobalSIP (2013)
Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR (2013)
Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM (2013)
Osama Khan, Randal C. Burns, James S. Plank, William Pierce, Cheng Huang
Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads. FAST (2012)
Kalin Kanov, Randal C. Burns, Gregory L. Eyink, Charles Meneveau, Alexander S. Szalay
Data-intensive spatial filtering in large numerical simulation datasets. SC (2012)
Da Zheng, Randal C. Burns, Alexander S. Szalay
A Parallel Page Cache: IOPS and Caching for Multicore Systems. HotStorage (2012)
Ragib Hasan, Randal C. Burns
The Life and Death of Unwanted Bits: Towards Proactive Waste Data Management in Digital Ecosystems CoRR (2011)
Paul T. Stanton, Randal C. Burns
APR-Quad: an update efficient authenticated dictionary for spatial data. SPRINGL (2011)
Edward Givelberg, Alexander S. Szalay, Kalin Kanov, Randal C. Burns
MPI-DB, A Parallel Database Services Software Library for Scientific Computing. EuroMPI (2011)
Ragib Hasan, Randal C. Burns
Where Have You Been? Secure Location Provenance for Mobile Devices CoRR (2011)
Osama Khan, Randal C. Burns, James S. Plank, Cheng Huang
In Search of I/O-Optimal Recovery from Disk Failures. HotStorage (2011)
Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Osama Khan, Lea Kissner, Zachary N. J. Peterson, Dawn Song
Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. 14 (1) (2011)
Kalin Kanov, Eric A. Perlman, Randal C. Burns, Yanif Ahmad, Alexander S. Szalay
I/O streaming evaluation of batch queries for data-intensive computational turbulence. SC (2011)
Xiaodan Wang, Christopher Olston, Anish Das Sarma, Randal C. Burns
CoScan: cooperative scan sharing in the cloud. SoCC (2011)
Paul T. Stanton, Benjamin McKeown, Randal C. Burns, Giuseppe Ateniese
FastAD: an authenticated directory for billions of objects. ACM SIGOPS Oper. Syst. Rev. 44 (1) (2010)
Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan, Rebecca R. Murphy, William P. Ball, Nina Amenta
Organization of Data in Non-convex Spatial Domains. SSDBM (2010)
Randal C. Burns, Kimberly Keeton
Guest editorial: FAST'10. ACM Trans. Storage 6 (3) (2010)
Neal H. Walfield, Paul T. Stanton, John Linwood Griffin, Randal C. Burns
Practical protection for personal storage in the cloud. EUROSEC (2010)
Andreas Terzis, Razvan Musaloiu-Elefteri, Joshua Cogan, Katalin Szlavecz, Alexander S. Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal C. Burns
Wireless sensor networks for soil science. Int. J. Sens. Networks 7 (1/2) (2010)
Bo Chen, Reza Curtmola, Giuseppe Ateniese, Randal C. Burns
Remote data checking for network coding-based distributed storage systems. CCSW (2010)
Yanif Ahmad, Randal C. Burns, Michael M. Kazhdan, Charles Meneveau, Alexander S. Szalay, Andreas Terzis
Scientific data management at the Johns Hopkins institute for data intensive engineering and science. SIGMOD Rec. 39 (3) (2010)
Xiaodan Wang, Eric A. Perlman, Randal C. Burns, Tanu Malik, Tamas Budavari, Charles Meneveau, Alexander S. Szalay
JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. SC (2010)
Randal C. Burns, Zachary N. J. Peterson
Security constructs for regulatory-compliant storage. Commun. ACM 53 (1) (2010)
Xiaodan Wang, Randal C. Burns, Tanu Malik
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases. CIDR (2009)
Alexander S. Szalay, Gordon Bell, Jan vandenBerg, Alainna Wonders, Randal C. Burns, Dan Fay, Jim Heasley, Tony Hey, María A. Nieto-Santisteban, Ani Thakar, Catharine van Ingen, Richard Wilton
GrayWulf: Scalable Clustered Architecture for Data Intensive Computing. HICSS (2009)
Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe
Parallel Poisson Surface Reconstruction. ISVC (1) (2009)
Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
CA-NFS: A congestion-aware network file system. ACM Trans. Storage 5 (4) (2009)
Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
CA-NFS: A Congestion-Aware Network File System. FAST (2009)
Jayant Gupchup, Andreas Terzis, Randal C. Burns, Alexander S. Szalay
Model-Based Event Detection in Wireless Sensor Networks CoRR (2009)
Xiaodan Wang, Randal C. Burns, Tanu Malik
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases CoRR (2009)
Tanu Malik, Xiaodan Wang, Debabrata Dash, Amitabh Chaudhary, Anastasia Ailamaki, Randal C. Burns
Adaptive Physical Design for Curated Archives. SSDBM (2009)
Sarah M. Richardson, Brian S. Olson, Jessica S. Dymond, Randal C. Burns, Srinivasan Chandrasegaran, Jef D. Boeke, Amarda Shehu, Joel S. Bader
Automated Design of Assemblable, Modular, Synthetic Chromosomes. PPAM (2) (2009)
Randal C. Burns, Susan B. Davidson, Yannis E. Ioannidis, Miron Livny, Jignesh M. Patel
Scientific Data Management: An Orphan in the Database Community? ICDE (2008)
Tanu Malik, Randal C. Burns
Workload-Aware Histograms for Remote Applications. DaWaK (2008)
Reza Curtmola, Osama Khan, Randal C. Burns, Giuseppe Ateniese
MR-PDP: Multiple-Replica Provable Data Possession. ICDCS (2008)
Tanu Malik, Xiaodan Wang, Randal C. Burns, Debabrata Dash, Anastasia Ailamaki
Automated physical design in database caches. ICDE Workshops (2008)
Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan
Organizing and indexing non-convex regions. Proc. VLDB Endow. 1 (2) (2008)
Alexandros Batsakis, Randal C. Burns
NFS-CD: Write-Enabled Cooperative Caching in NFS. IEEE Trans. Parallel Distributed Syst. 19 (3) (2008)
Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
AWOL: An Adaptive Write Optimizations Layer. FAST (2008)
Reza Curtmola, Osama Khan, Randal C. Burns
Robust remote data checking. StorageSS (2008)
Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amol Deshpande
Network-Aware Join Processing in Global-Scale Database Federations. ICDE (2008)
Eric A. Perlman, Randal C. Burns, Yi Li, Charles Meneveau
Data exploration of turbulence simulations using a database cluster. SC (2007)
Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe
Multilevel streaming for out-of-core surface reconstruction. Symposium on Geometry Processing (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Randal C. Burns