Publications

Conferences and Workshops


Evangelia Sitaridi, Rene Mueller, Tim Kaldewey, Guy Lohman, Kenneth Ross.  "Massively-Parallel Lossless Data Decompression."   45th Annual International Conference on Parallel Processing (ICPP'16).   Philadelphia, PA, 2016. 

Peter Haggar, Michael Gschwind, and Tim Kaldewey.   "Towards an optimized deep learning infrastructure on OpenPOWER."   1st IBM Deep Learning Workshop   Yorktown Heights, NY, 2016. 

Evangelia Sitaridi, Rene Mueller, Tim Kaldewey, "Parallel Lossless Compression using GPUs."   GPU Technology Conference (GTC'14)   San Jose, CA, 2014.  

Rohan Gandhi, Aayush Gupta, Anna Povzner, Wendy Belluomini, and Tim Kaldewey.  "Mercury: Bringing Efficiency to Key-value Stores."   6th International Systems and Storage Conference (Systor '13).   Haifa, ISRAEL, 2013. 

Tim Kaldewey, Guy Lohman, Rene Mueller, Peter Volk.  "GPU Join Processing Revisited."   Eighth International Workshop on Data Management on New Hardware (DaMoN '12).   Scottsdale, AZ, 2012. 

Tim Kaldewey, Sandeep Tata, Eugene Shekita.  "Clydesdale: Structured Data Processing on MapReduce."   15th International Conference on Extending Database Technology (EDBT '12).   Berlin, GERMANY, 2012.

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony Nguyen, Tim Kaldewey, Victor Lee, Scott Brandt, Pradeep Dubey.   "FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs."   2010 ACM SIGMOD/PODS Conference (SIGMOD'10).   Indianapolis, IN, 2010.
Best Paper Award

Changkyu Kim, Eric Sedlar, Jatin Chhugani, Tim Kaldewey, Anthony Nguyen, Andrea Di Blas, Victor Lee, Nadathur Satish, Pradeep Dubey.   "Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs"   35th International Conference on Very Large Databases (VLDB'09).   Lyon, France, 2009.

Tim Kaldewey, Andrea Di Blas, Jeff Hagen, Eric Sedlar.   “Parallel Search on Video Cards.”   1st USENIX Workshop on Hot Topics in Parallelism (HotPar'09).   Berkeley, CA, 2009.

Tim Kaldewey, Andrea Di Blas, Jeff Hagen, Eric Sedlar, Scott Brandt.   “Memory Matters.”   Work in Progress in the 29th IEEE Real-Time Systems Symposium (RTSS'08).   Barcelona, Spain, 2008.

Scott Brandt, Carlos Maltzahn, Anna Povzner, Roberto Pineiro, Andrew Shewmaker, Tim Kaldewey   “An Integrated Model for Performance Management in a Distributed System”   Workshop on Operating Systems Platforms for Embedded Real-Time applications (OSPERT'08)   Prague, Czech Republic, 2008.

Tim Kaldewey, Theodore Wong, Richard Golding, Anna Povzner, Scott Brandt   “Virtualizing Disk Performance”   14th IEEE Real-Time and Embedded Technology Applications Symposium (RTAS'08).   Saint Louis, MI, 2008.
Best Paper Award

Anna Povzner, Tim Kaldewey, Scott Brandt, Richard Golding, Theodore Wong, and Carlos Maltzahn   “Efficient Guaranteed Disk Request Scheduling with Fahrrad”   2008 Eurosys conference (Eurosys’08).   Glasgow, UK, 2008.

David Bigelow, Suresh Iyer, Tim Kaldewey, Roberto Pineiro, Anna Povzner, Scott Brandt, Richard Golding, Theodore Wong, Carlos Maltzahn   “End-to-end performance management for scalable distributed storage”   Petascale Data Storage Workshop Supercomputing (PDSW'07)   Reno, NV, 2007.

Caixue Lin, Tim Kaldewey, Anna Povzner, Scott Brandt   “Diverse Soft Real-Time Processing in an Integrated System”   27th IEEE Real-Time Systems Symposium (RTSS'06)   Rio de Janeiro, Brazil, 2006.

Tim Kaldewey, Caixue Lin, Scott Brandt   “Firm Real-Time Processing in an Integrated Real-Time System”   Work in Progress in the 12th IEEE Real-Time and Embedded Technology Applications Symposium (RTAS'06)   San Jose, CA, 2006.

Pascal Felber, Tim Kaldewey Stefan Weiss   “Proactive Hot Spot Avoidance for Web Server Dependability”   23rd IEEE Symposium on Reliable and Distributed Systems (SRDS'04)   Florianpolis, Brazil, 2004.

Demonstration of Prototypes

Tim Kaldewey, David K. Tam, David Wendt, "Accelerating Watson Workloads -- Enhancing, scaling, and accelerating human expertise."   Internatinal Conference for High Performance Computing, Networking, Storage and Analysis (SC15)   Austin, TX, 2015.

Rene Mueller, Tim Kaldewey, Guy Lohman, John McPherson   “WoW: What the World of (data) Warehousing can learn from the World of Warcraft.”   2013 ACM SIGMOD/PODS Conference (SIGMOD’13)   New York, NY, 2013.

Tim Kaldewey, Rene Mueller, Guy Lohman, John McPherson, “GPUs Accelerating SQL – Let your GPU do the heavy lifting in your data warehouse.”   GPU Technology Conference (GTC’13)   San Jose, CA, 2013.

Sandeep Tata, Tim Kaldewey, Andrey Balmin “Clydesdale: Structured Data Processing on Hadoop.”   2012 ACM SIGMOD/PODS Conference (SIGMOD’12)   Scottsdale, AZ, 2012.

Tim Kaldewey, Rene Mueller, Guy Lohman, John McPherson “GPUs Accelerating SQL – What the World of (data) Warehousing can learn from the World of Warcraft.”   Information On Demand (IOD’12)   Las Vegas, NV, October 21–25, 2012.

Journals

Michael Gschwind, Tim Kaldewey, David K. Tam.  "Optimizing Efficiency of Deep Learning Through Accelerator Virtualization."   IBM Journal of Research and Development   under review.

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey   "Designing fast architecture-sensitive tree search on modern multicore/many-core processors."   ACM Transactions on Database Systems (TODS)   Volume 36, Issue 4, 2011.

Andrea Di Blas, Tim Kaldewey   "Data Monster"   IEEE spectrum   Volume 46, Issue 9, 2009.

Tim Kaldewey   "Programming Video Cards for Database Applications."   USENIX ;login   Volume 34, Issue 4, 2009.

Anna Povzner, Tim Kaldewey, Scott Brandt, Richard Golding, Theodore Wong, and Carlos Maltzahn   “Efficient Guaranteed Disk Request Scheduling with Fahrrad”   ACM SIGOPS Operating Systems Review   Volume 42, Issue 4, 2008.

Books

Tim Kaldewey, Andrea Di Blas.   "Large Scale GPU Search."   GPU Computing Gems - Jade Edition.  Chapter 1. Morgan Kaufmann Publishers, Waltham, MA, 2011.

Patents

Guy Lohman, Tim Kaldewey, Peter Volk.   IBM Research, San Jose, CA.   “Method for Lock-Free Creation of Partitioned Hash Tables in Parallel.”   US Patent Application Serial Number 13/887422 , filed May 06, 2012.

Robert Pei, Tim Kaldewey, Samir Raiyani   SAP Research, Palo Alto, CA.   “Incident command post.”   US Patent 8,352,172 , granted Jan. 8, 2013.

Tim Kaldewey, Samir Raiyani, Robert Pei, Sneschana Sobol   SAP Research, Palo Alto, CA.   “System and method for navigating a facility.”   US Patent 8,352,176 , granted Jan. 8, 2013.

Tim Kaldewey, Samir Raiyani, Robert Pei, Sneschana Sobol   SAP Research, Palo Alto, CA.   “System and method for navigating a facility.”   US Patent 8,346,472 , granted Jan. 1, 2013.

Tim Kaldewey, Samir Raiyani, Robert Pei, Sneschana Sobol   SAP Research, Palo Alto, CA.   “System and method for navigating a facility.”   US Patent 7,587,274 , granted Sept. 8, 2009.

Robert Pei, Tim Kaldewey, Samir Raiyani   SAP Research, Palo Alto, CA.   “Incident command post.”   US Patent 7,881,862 , granted Feb.1, 2011.

White Papers

Samir Raiyani, Robert Pei, Tim Kaldewey   “Innovative Architectures for Unified Incident Command and Decision Support”   White Paper, SAP Research   Palo Alto, CA, 2004.