{"paper":{"title":"Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["hep-ex","physics.ins-det"],"primary_cat":"physics.comp-ph","authors_text":"Avi Yagil, Daniel Riley, Frank W\\\"urthwein, Giuseppe Cerati, Kevin McDermott, Mario Masciovecchio, Matev\\v{z} Tadel, Matthieu Lefebvre, Peter Elmer, Peter Wittich, Slava Krutelyov, Steven Lantz","submitted_at":"2017-05-08T13:50:10Z","abstract_excerpt":"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-power, multi-core processors such as GPGPU, ARM and Intel MIC. Broad-based efforts from manufacturers and developers have been devoted to making these processors user-friendly enough to perform general computations. However, extracting performance from a larger number of cores, as well as specialized vector or SIMD units, requires special care in algorithm design and code optimization. One of the most computationall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02876","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}