Improving the performance of k-means clustering through computation skipping and data locality optimizations. - Orhan Kislal; Piotr Berman; Mahmut T. Kandemir (Conf. Computing Frontiers, 2012)

Reuse distance based performance modeling and workload mapping. - Sai Prashanth Muralidhara; Mahmut T. Kandemir; Orhan Kislal (Conf. Computing Frontiers, 2012)

Cache-Aware Approximate Computing for Decision Tree Learning. - Orhan Kislal; Mahmut T. Kandemir; Jagadish Kotra (IPDPS Workshops, 2016)

POSTER: Location-Aware Computation Mapping for Manycore Processors. - Orhan Kislal; Jagadish Kotra; Xulong Tang; Mahmut Taylan Kandemir; Myoungsoo Jung (PACT, 2017)

Data movement aware computation partitioning. - Xulong Tang; Orhan Kislal; Mahmut T. Kandemir; Mustafa Karaköy (MICRO, 2017)

Quantifying and Optimizing Data Access Parallelism on Manycores. - Jihyun Ryoo; Orhan Kislal; Xulong Tang; Mahmut T. Kandemir (MASCOTS, 2018)

Enhancing computation-to-core assignment with physical location information. - Orhan Kislal; Jagadish Kotra; Xulong Tang; Mahmut Taylan Kandemir; Myoungsoo Jung (PLDI, 2018)

Data access skipping for recursive partitioning methods. - Orhan Kislal; Mahmut T. Kandemir (Comput. Lang. Syst. Struct., 2018)

Architecture-Aware Approximate Computing. - Mustafa Karaköy; Orhan Kislal; Xulong Tang; Mahmut Taylan Kandemir; Meenakshi Arunachalam (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches. - Yuhao Zhang; Frank Mcquillan; Nandish Jayaram; Nikhil Kak; Ekta Khanna; Orhan Kislal; Domino Valdano; Arun Kumar 001 (Proc. VLDB Endow., 2021)