6222461
Approximate VCCs: a new characterization of multimedia workloads for system-level MpSoC design
System-level design methods specifically targeted towards multimedia applications have recently received a lot of attention. Multimedia workloads are known to have a high degree of variability. Therefore, designs based on a worst-case analysis of such workloads tend of be overly pessimistic. We address this issue by introducing a new concept called approximate variability characterization curves (or approximate VCCs), to characterize the "average-case" behavior of multimedia workloads in a parameterized fashion. Since most multimedia applications only have soft real-time constraints, it is often possible to tolerate a small amount of performance degradation. By allowing such small degradations in the performance, large amounts of resource savings are possible. The concept of approximate VCCs that we present in this paper allows a designer to quantitatively account for the performance degradation and the associated resource savings. We illustrate this using two typical system design cases.
2728797
Generalized Rate Analysis for Media-Processing Platforms
In this paper we address the "rate analysis" problem for media-processing platforms consisting of multiple processor cores connected in a pipelined fashion. More precisely, we aim at determining fight bounds on the rates at which multimedia streams can be fed into such architectures. These bounds depend on architectural constraints (e.g. the available on-chip memory, bus arbitration policies, etc), as well as the application characteristics (e.g. application partitioning and mapping, workload rates generated by different tasks, etch The proposed framework for rate analysis can be used for fast design space exploration to determine how these bounds change with different architectural parameters, mapping of the application, or changing the QoS requirements associated with the input streams
16964204
Workload characterization and cost-quality tradeoffs in MPEG-4 decoding on resource-constrained devices
There has been a lot of interest in the embedded systems community on architectures and design methods that are targeted towards multimedia applications. This trend is pri marily motivated by the proliferation of resource and power-constrained portable devices (such as mobile phones and PDAs), a major portion of whose workload is made up of multimedia applications. In this paper, we investigate the tradeoffs between video quality and the processor cycle requirements in such resource-constrained devices, in the particular context of MPEG-4 decoding using an open source codec called XviD. The XviD codec implements a number of powerful coding tools from MPEG-4, which are organized as profiles and levels. Given the specification of an architecture on which an XviD decoder is implemented, the work presented here would guide a multimedia applications developer in selecting appropriate profiles and levels for the corresponding encoder application. While the selection of such profiles has so far been primarily influenced by the network bandwidth in the case of video streaming, our work stresses the importance of additionally taking into account the architecture of the device running the decoder application. Although the relevance of this observation is increasingly being realized, sufficient work has not yet been done to provide guidelines on how to systematically make such selections. This work attempts to address this shortcoming.
2987131
Interface-Based Rate Analysis of Embedded Systems
Interface-based design is now considered to be one of the keys to tackling the increasing complexity of modern embedded systems. The central idea is that different components comprising such systems can be developed independently and a system designer can connect them together only if their interfaces match, without knowing the details of their internals. We use the concept of rate interfaces for compositional (correct-by-construction) design of embedded systems whose components communicate through data streams. Using the associated rate interface algebra, two components can be connected together if the output rate of one component is "compatible" with the input rate of the other component. We formalize this notion of compatibility and show that such an algebra is non-trivial because it has to accurately model the burstiness in the arrival rates of such data streams and the variability in their processing requirements. We discuss how rate interfaces simplify compositional design and at the same time help in functional and performance verification which would be difficult to address otherwise. Finally, we illustrate these advantages through a realistic case study involving a component-based design of a multiprocessor architecture running a picture-in-picture application
18374506
Design-level performance prediction of component-based applications
Server-side component technologies such as Enterprise JavaBeans (EJBs), .NET, and CORBA are commonly used in enterprise applications that have requirements for high performance and scalability. When designing such applications, architects must select suitable component technology platform and application architecture to provide the required performance. This is challenging as no methods or tools exist to predict application performance without building a significant prototype version for subsequent benchmarking. In this paper, we present an approach to predict the performance of component-based server-side applications during the design phase of software development. The approach constructs a quantitative performance model for a proposed application. The model requires inputs from an application-independent performance profile of the underlying component technology platform, and a design description of the application. The results from the model allow the architect to make early decisions between alternative application architectures in terms of their performance and scalability. We demonstrate the method using an EJB application and validate predictions from the model by implementing two different application architectures and measuring their performance on two different implementations of the EJB platform.
10720584
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method is essentially a generative model in that the class conditional probabilities are estimated by graph propagation and the class priors are estimated by linear regression. Experimental results on various datasets show that the proposed method is superior to existing graph-based semi-supervised learning methods, especially when the labeled subset alone proves insufficient to estimate meaningful class priors.
15492987
Automatic Accurate Time-Bound Analysis for High-Level Languages
This paper describes a general approach for automatic and accurate time-bound analysis. The approach consists of transformations for building time-bound functions in the presence of partially known input structures, symbolic evaluation of the time-bound function based on input parameters, optimizations to make the overall analysis efficient as well as accurate, and measurements of primitive parameters, all at the source-language level. We have implemented this approach and performed a number of experiments for analyzing Scheme programs. The measured worst-case times are closely bounded by the calculated bounds.
16439747
Improving unstructured peer-to-peer systems by adaptive connection establishment
In unstructured peer-to-peer (P2P) systems, the mechanism of a peer randomly joining and leaving a P2P network causes a topology mismatch between the P2P logical overlay network and the physical underlying network, incurring a large volume of redundant traffic in the Internet. In order to alleviate the topology mismatch problem, we propose adaptive connection establishment (ACE), an algorithm for building an overlay multicast tree among each source node and the peers within a certain diameter from the source peer and further optimizing the neighbor connections that are not on the tree while retaining the search scope. Our simulation study shows that this approach can effectively solve the mismatch problem and significantly reduce P2P traffic. We further study the trade-offs between the topology optimization rate and the information exchange overhead by changing the diameter used to build the tree.
25530597
Optimal space-time scheduling for block fading channels with partial power feedbacks
The multi-user multiple-input-multiple-output (MIMO) space-time scheduling problem is the prime focus of the paper. Using multiple transmit (nT) and receive antennas (nR), it is well known that the link-level throughput will be increased linearly with respect to min[nT, nR] without increasing the bandwidth and power budget. However, optimizing the link-level performance of the MIMO system does not always imply achieving scheduling-level optimization. Therefore, the design optimization across the link layer and the scheduling layer is very important to fully exploit the temporal and spatial dimensions of the communication channel. In this paper, we address the design of the optimal space-time scheduler for the multi-user MIMO system based on an information theoretical approach. Since full knowledge of channel matrix at the transmitter requires a feedback channel capacity not scalable with respect to nT (number of transmit antennas at mobiles) and nR (number of receive antennas at base station), we will assume two partial feedback models.