activity
20182023
most citedScale-Out Processors & Energy Efficiency

8 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance

Víctor Mayoral-Vilches, Jason Jabbour, Yu-Shun Hsiao +16

We introduce RobotPerf, a vendor-agnostic benchmarking suite designed to evaluate robotics computing performance across a diverse range of hardware platforms using ROS 2 as its com…

cs.RO2021

Speculative Path Planning

Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri

Parallelization of A* path planning is mostly limited by the number of possible motions, which is far less than the level of parallelism that modern processors support. In this pap…

cs.AR2020★ 3 cited

A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers

Mohammad Bakhshalipour, Mehran Shakerinava, Fatemeh Golshan +3

Data prefetching, i.e., the act of predicting application's future memory accesses and fetching those that are not in the on-chip caches, is a well-known and widely-used approach t…

cs.AR2018★ 6 cited

Die-Stacked DRAM: Memory, Cache, or MemCache?

Mohammad Bakhshalipour, HamidReza Zare, Pejman Lotfi-Kamran +1

Die-stacked DRAM is a promising solution for satisfying the ever-increasing memory bandwidth requirements of multi-core processors. Manufacturing technology has enabled stacking se…

cs.AR2018★ 2 cited

Making Belady-Inspired Replacement Policies More Effective Using Expected Hit Count

Seyed Armin Vakil Ghahani, Sara Mahdizadeh Shahri, Mohammad Bakhshalipour +2

Memory-intensive workloads operate on massive amounts of data that cannot be captured by last-level caches (LLCs) of modern processors. Consequently, processors encounter frequent…

cs.AR2018★ 8 cited

Scale-Out Processors & Energy Efficiency

Pouya Esmaili-Dokht, Mohammad Bakhshalipour, Behnam Khodabandeloo +2

Scale-out workloads like media streaming or Web search serve millions of users and operate on a massive amount of data, and hence, require enormous computational power. As the numb…

cs.DC2018★ 3 cited

Parallelizing Bisection Root-Finding: A Case for Accelerating Serial Algorithms in Multicore Substrates

Mohammad Bakhshalipour, Hamid Sarbazi-Azad

Multicore architectures dominate today's processor market. Even though the number of cores and threads are pretty high and continues to grow, inherently serial algorithms do not be…