422 citations · 1.3k across the 38 of their papers we have counts for
5 papers · 1 filter
Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events
Giuseppe Cerati, Peter Elmer, Brian Gravelle +13
The High-Luminosity Large Hadron Collider at CERN will be characterized by greater pileup of events and higher occupancy, making the track reconstruction even more computationally…
Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures
Giuseppe Cerati, Peter Elmer, Slava Krutelyov +9
Faced with physical and energy density limitations on clock speed, contemporary microprocessor designers have increasingly turned to on-chip parallelism for performance gains. Algo…
Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs
Giuseppe Cerati, Peter Elmer, Slava Krutelyov +9
For over a decade now, physical and energy constraints have limited clock speed improvements in commodity microprocessors. Instead, chipmakers have been pushed into producing lower…
Kalman Filter Tracking on Parallel Architectures
Giuseppe Cerati, Peter Elmer, Slava Krutelyov +8
Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGP…
Any Data, Any Time, Anywhere: Global Data Access for Science
Kenneth Bloom, Tommaso Boccali, Brian Bockelman +11
Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) exp…