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All semiconductor market domains are converging to concurrent platforms. This trend has certainly led real challenge to develop applications software that effectively uses these concurrent processors to achieve efficiency and performance goals. This paper argues that the Computer System related courses are natural places to introduce the parallelism, and the earlier to parallel computing concepts...
In Machine learning (ML) the model we use is increasingly important, and the model's parameters, the key point of the ML, are adjusted through iteratively processing a training dataset until convergence. Although data-parallel ML systems often engage a perfect error tolerance when synchronizing the model parameters for maximizing parallelism, the synchronization of model parameters may delay in completion,...
Real-time systems are shifting from single-core to multi-core processors, on which software must be parallelized to fully utilize the additional computation power. Recently different types of scheduling algorithms and analysis techniques have been proposed for parallel real-time tasks modeled as directed acyclic graphs (DAG). However, this field is still much less mature than traditional real-time...
Checkpointing is the act of saving the state of a running program so that it may be recovered later, which is a general idea that enables various functionalities in computer systems, including fault tolerance, system recovery, and process migration. Checkpointing mechanisms in traditional systems normally save the state of process running on volatile memory to a checkpoint file stored on non-volatile...
Cache is an important component existing in modern computer system to bridge the performance gap between the fast CPU and the slow memory system. A variety of cache optimization technologies and mechanisms are proposed to improve the cache performance, such as instruction cache prefetching. Most instruction prefetching mechanisms existing are proposed to improve the average-case cache performance...
We present the design of time parallel trace-driven cache simulation for the purpose of evaluating different cache architectures. Due to the long simulation cycles, traditional sequential simulation methods are no longer practical. An obvious way to achieve fast parallel simulation is time parallel. It splits the whole trace into small slices which are assigned to parallel processors for concurrent...
Physic-based fluid simulation is used extensively nowadays; however the traditional serial algorithm can't satisfy the real-time requirement due to its complexity and computeintensive. The development of modern GPU makes this possible. In this paper, a Smoothed Particle Hydrodynamics (SPH) method for incompressible fluid was implemented using CUDA on GPU. Since the algorithm was executed on the GPU...
In this paper, an intelligent monitoring system for local-area network traffic is presented. The presented system sniffs the traffic on a local area network, parses the captured go-through packets and analyzes the current network traffic in a real-time manner. Thus, the developed system effectively provides the real-time traffic information for users to refer. Besides, the system offers a Web-based...
This paper proposes a basic ARM full system simulation framework, a novel approach to understanding the behavior of modern embedded systems. Our simulation framework implements the kernel architecture of the ARM ISA, on which one can run and debug system or user-level programs. It has flexible software architecture, and good encapsulation of the communication between virtual peripherals and host peripherals...
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