Proactive Hot Spot Avoidance for Web Server Dependability. - Pascal Felber; Tim Kaldewey; Stefan Weiss (SRDS, 2004)

Diverse Soft Real-Time Processing in an Integrated System. - Caixue Lin; Tim Kaldewey; Anna Povzner; Scott A. Brandt (RTSS, 2006)

End-to-end performance management for scalable distributed storage. - David O. Bigelow; Suresh Iyer; Tim Kaldewey; Roberto C. Pineiro; Anna Povzner; Scott A. Brandt; Richard A. Golding; Theodore M. Wong; Carlos Maltzahn (PDSW, 2007)

Efficient guaranteed disk request scheduling with fahrrad. - Anna Povzner; Tim Kaldewey; Scott A. Brandt; Richard A. Golding; Theodore M. Wong; Carlos Maltzahn (EuroSys, 2008)

Virtualizing Disk Performance. - Tim Kaldewey; Theodore M. Wong; Richard A. Golding; Anna Povzner; Scott A. Brandt; Carlos Maltzahn (IEEE Real-Time and Embedded Technology and Applications Symposium, 2008)

Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs. - Changkyu Kim; Eric Sedlar; Jatin Chhugani; Tim Kaldewey; Anthony D. Nguyen; Andrea Di Blas; Victor W. Lee; Nadathur Satish; Pradeep Dubey (Proc. VLDB Endow., 2009)

Programming Video Cards for Database Applications. - Tim Kaldewey (login Usenix Mag., 2009)

FAST: fast architecture sensitive tree search on modern CPUs and GPUs. - Changkyu Kim; Jatin Chhugani; Nadathur Satish; Eric Sedlar; Anthony D. Nguyen; Tim Kaldewey; Victor W. Lee; Scott A. Brandt; Pradeep Dubey (SIGMOD Conference, 2010)

Designing fast architecture-sensitive tree search on modern multicore/many-core processors. - Changkyu Kim; Jatin Chhugani; Nadathur Satish; Eric Sedlar; Anthony D. Nguyen; Tim Kaldewey; Victor W. Lee; Scott A. Brandt; Pradeep Dubey (ACM Trans. Database Syst., 2011)

GPU join processing revisited. - Tim Kaldewey; Guy M. Lohman; René Müller 001; Peter Benjamin Volk (DaMoN, 2012)

Clydesdale: structured data processing on MapReduce. - Tim Kaldewey; Eugene J. Shekita; Sandeep Tata (EDBT, 2012)

Clydesdale: structured data processing on hadoop. - Andrey Balmin; Tim Kaldewey; Sandeep Tata (SIGMOD Conference, 2012)

WOW: what the world of (data) warehousing can learn from the World of Warcraft. - René Müller 001; Tim Kaldewey; Guy M. Lohman; John McPherson (SIGMOD Conference, 2013)

Mercury: bringing efficiency to key-value stores. - Rohan Gandhi; Aayush Gupta; Anna Povzner; Wendy Belluomini; Tim Kaldewey (SYSTOR, 2013)

Massively-Parallel Lossless Data Decompression. - Evangelia A. Sitaridi; René Müller 001; Tim Kaldewey; Guy M. Lohman; Kenneth A. Ross (ICPP, 2016)

Optimizing the efficiency of deep learning through accelerator virtualization. - Michael Gschwind; Tim Kaldewey; David K. Tam (IBM J. Res. Dev., 2017)

Gpu-Accelerated Viterbi Exact Lattice Decoder for Batched Online and Offline Speech Recognition. - Hugo Braun; Justin Luitjens; Ryan Leary; Tim Kaldewey; Daniel Povey (ICASSP, 2020)

A Data-Centric Approach for Training Deep Neural Networks with Less Data. - Mohammad Motamedi; Nikolay Sakharnykh; Tim Kaldewey (CoRR, 2021)

GPU-Accelerated Wfst Beam Search Decoder for CTC-Based Speech Recognition. - Daniel Galvez; Tim Kaldewey (ASRU, 2023)

Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU. - Daniel Galvez; Vladimir Bataev; Hainan Xu; Tim Kaldewey (INTERSPEECH, 2024)