Andrey Rodchenko

The University of Manchester · School of Computer Science

Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge. Often referred to as SLAM (Simultaneous Localisation and Mapping), it is central to applications spanning domestic and industrial robotics, autonomous vehicles, virtual and augmented reality. This paper describes the results of a major research ef...

Implementations of object-oriented programming languages associate type information with each object to perform various runtime tasks such as dynamic dispatch, type introspection, and reflection. A common means of storing such relation is by inserting a pointer to the associated type information into every object. Such an approach, however, introdu...

Real-time 3D space understanding is becoming prevalent across a wide range of applications and hardware platforms. To meet the desired Quality of Service (QoS), computer vision applications tend to be heavily parallelized and exploit any available hardware accelerators. Current approaches to achieving real-time computer vision, evolve around progra...

Real-time 3D space understanding is becoming prevalent across a wide range of applications and hardware platforms. To meet the desired Quality of Service (QoS), computer vision applications tend to be heavily parallelized and exploit any available hardware accelerators. Current approaches to achieving real-time computer vision, evolve around progra...

Managed applications, written in programming languages such as Java, C# and others, represent a significant share of workloads in the mobile, desktop, and server domains. Microarchitectural timing simulation of such workloads is useful for characterization and performance analysis, of both hardware and software, as well as for research and developm...

The end of Dennard scaling combined with stagnation in architectural and compiler optimizations makes it challenging to achieve significant performance deltas. Solutions based solely in hardware or software are no longer sufficient to maintain the pace of improvements seen during the past few decades. In hardware, the end of single-core scaling res...

Barriers are a fundamental synchronization primitive, underpinning the parallel execution models of many modern shared-memory parallel programming languages such as OpenMP, OpenCL or Cilk, and are one of the main challenges to scaling. State-of-the-art barrier synchronization algorithms differ in tradeoffs between critical path length, communicatio...