High Performance Computing in Clouds
Moving HPC Applications to a Scalable and Cost-Effective Environment
Page
%P
-
Chapter
Why Move HPC Applications to the Cloud?
From the invention of the first general-purpose electronic computers in the 1940s to the early 1990s, the supercomputers used in high-performance computing (HPC) were highly specialized parallel machines with ...
-
Book
-
Article
A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures
While heterogeneous architectures are increasing popular with High Performance Computing systems, their effectiveness depends on how efficient the scheduler is at allocating workloads onto appropriate computin...
-
Chapter and Conference Paper
TransMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory
Page migration strategies are crucial to the performance of a hybrid main memory system which consists of DRAM and Non-Volatile RAM. Previous locality-based migration strategies have limitations on deciding wh...
-
Book and Conference Proceedings
Network and Parallel Computing
18th IFIP WG 10.3 International Conference, NPC 2021, Paris, France, November 3–5, 2021, Proceedings
-
Chapter
Introduction to Autonomous Driving
We are at the dawn of the future of autonomous driving. To understand what the future may be, we usually consult history, so let us start with that.
-
Chapter
Perception in Autonomous Driving
In autonomous driving, the goal of perception is to sense the surrounding dynamic environment, to build reliable and detailed representation based on sensory data. In order for autonomous driving vehicles to b...
-
Chapter
PerceptIn’s Autonomous Vehicles Lite
-
Chapter
Cloud Platform for Autonomous Driving
Autonomous driving clouds provide essential services to support autonomous vehicles. Today these services include but not limited to distributed simulation tests for new algorithm deployment, offline deep lear...
-
Chapter
Deep Learning in Autonomous Driving Perception
In the previous chapter, we discussed perception issues in autonomous driving. In recent years, the concept of deep neural networks, also known as deep learning, has greatly changed the field of computer visio...
-
Chapter
Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments
-
Chapter
Client Systems for Autonomous Driving
This chapter focuses on the design of autonomous driving client systems, including the operating system and the computing platform. An autonomous system is a very complex software and hardware system. In order...
-
Chapter and Conference Paper
PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures
While High Performance Computing systems are increasingly based on heterogeneous cores, their effectiveness depends on how well the scheduler can allocate workloads onto appropriate computing devices and how c...
-
Chapter
Prediction and Routing
In this chapter, we will describe the Prediction and Routing modules with an emphasis on how they are integrated in the autonomous vehicle planning and control framework. The Prediction module is responsible for ...
-
Chapter
Reinforcement Learning-Based Planning and Control
While optimization-based approaches still enjoy mainstream appeal in solving motion planning and control problems, learning-based approaches have become increasingly popular with recent developments in artific...
-
Book
-
Chapter
Autonomous Vehicle Localization
For autonomous vehicles, one of the most critical tasks is localization, i.e., the accurate and real-time determination of the unit’s position. In this chapter we first study different localization techniques,...
-
Chapter
Decision, Planning, and Control
In this chapter, we continue with our general discussion of the planning and control modules by expanding on the concepts of behavior decision, motion planning, and feedback control. Decision, planning, and contr...
-
Book and Conference Proceedings
Network and Parallel Computing
16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings
-
Chapter
Deep Learning in Autonomous Driving Perception
In the previous chapter, we discussed perception in autonomous driving. In recent years, deep neural networks, also known as deep learning, have greatly affected the field of computer vision, making significan...
