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 …

Current multi-/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

Current multi/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

With the end of conventional CMOS scaling, efficient resiliency solutions are needed to
address the increased likelihood of hardware errors. Silent data corruptions (SDCs) are …

The landscape of modern computers is undoubtedly heterogeneous, as all computing
platforms integrate multiple types of processing units and hardware accelerators. However …

The Complexity of emerging multi/many-core architectures and diversity of modern
workloads demands coordinated dynamic resource management methods. We introduce a …

The need for dynamic resource management has shadowed the exponential growth of on-
chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources …

Modern computer systems have become heterogeneous and consist of many emerging
kinds of hardware accelerators as Dennard Scaling discontinues. Also, such domain …

Runtime resource management for heterogeneous computing systems is becoming more
and more complex as workloads in these platforms get increasingly more diverse and the …

Approximate DRAM can reduce energy consumption by exposing application data to
probabilistic errors. However, not all data is amenable to approximation, and errors in …