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Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis., , , , , , and . PACT, page 3:1-3:14. ACM, (2018)DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling., , , and . CoRR, (2022)Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads., , , , , , , , , and 7 other author(s). SC, page 14. ACM, (2021)Deep Graph Library Optimizations for Intel(R) x86 Architecture., , , and . CoRR, (2020)Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems., , , and . IPDPS, page 314-324. IEEE, (2019)Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads., , , , , , , , , and 9 other author(s). Frontiers Appl. Math. Stat., (2022)Accelerating minimap2 for long-read sequencing applications on modern CPUs., , , and . Nat. Comput. Sci., 2 (2): 78-83 (2022)Parallel Bayesian Network Structure Learning for Genome-Scale Gene Networks., , , , , , , and . SC, page 461-472. IEEE Computer Society, (2014)Dtree: Dynamic Task Scheduling at Petascale., , , , , and . ISC, volume 9137 of Lecture Notes in Computer Science, page 122-138. Springer, (2015)GenomicsBench: A Benchmark Suite for Genomics., , , , , , , , and . ISPASS, page 1-12. IEEE, (2021)