Publications (6)
Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications
Vivek Balasubramanian, Matteo Turilli, Weiming Hu +5
Many scientific problems require multiple distinct computational tasks to be executed in order to achieve a desired solution. We introduce the Ensemble Toolkit (EnTK) to address th…
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…
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…
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…
Kalman filter tracking on parallel architectures
Giuseppe Cerati, Peter Elmer, Slava Krutelyov +8
Limits on power dissipation have pushed CPUs to grow in parallel processing capabilities rather than clock rate, leading to the rise of "manycore" or GPU-like processors. In order…