In this paper we discuss several forms of spatiotemporal convolutions for video analysis and
study their effects on action recognition. Our motivation stems from the observation that 2D …

Traffic flow prediction plays an important role in intelligent transportation systems. To
accurately capture the complex non-linear temporal characteristics of traffic flow, this paper …

As computing platforms increasingly embrace heterogeneity, runtime resource managers
need to efficiently, dynamically, and robustly manage shared resources (eg, cores, power …

3D-stacked processor-memory systems stack memory (DRAM banks) directly on top of logic
(CPU cores) using chiplet-on-chiplet packaging technology to provide the next-level …

Analysis of health-related texts can be used to detect adverse drug reactions (ADR). The
greatest challenge for ADR detection lies in imbalanced data distributions where words …

Dynamic voltage and frequency scaling (DVFS)-based boosting is indispensable for
optimizing the performance of thermally-constrained many-core processors. State-of-the-art …

Two factors primarily affect the performance of multi-threaded tasks on many-core
processors with logically-shared and physically-distributed Last-Level Cache (LLC): the LLC …

The allocation of resources and scheduling of tasks, specifically map**, in multicore
systems on-chip (MCSoC), pose significant challenges. Tasks have diverse resource …

Tackling the dark silicon problem in a heterogeneous multicore system, the temperature
constraints across the system should be addressed carefully by assigning a proper set of …

Cyber-Physical-Social Systems (CPSS) provide great value to our lives, but they also cause
data overload problems. Data-driven personalized recommendation service is one of the …