The authors describe a new approach to hardware implementation of speech compression algorithms. The hardware architecture takes into consideration future integration into the public telephone system or other multiuse...
详细信息
The authors describe a new approach to hardware implementation of speech compression algorithms. The hardware architecture takes into consideration future integration into the public telephone system or other multiuser systems. The authors propose a multichannel multiprocessor system placed at the central office rather than the traditional single-channel DSP-chip system. Dedicated processors and distributed and parallelprocessing are basic elements in the system architecture. The approach has been used to develop an experimental real-time processor for 16-kb/s compression, implementing the adaptive subbands excited transform (ASET) coding algorithm. A system capable of serving up to 24 channels has been successfully built and demonstrated. In addition to high-quality speech, the experimental system results in a cost per channel end that is approximately one-third the cost of a DSP-chip implementation.
Time critical applications are appealing to deploy in clouds due to the elasticity of cloud resources and their on-demand nature. However, support for deploying application components with strict deadlines on their de...
详细信息
ISBN:
(纸本)9783319642031;9783319642024
Time critical applications are appealing to deploy in clouds due to the elasticity of cloud resources and their on-demand nature. However, support for deploying application components with strict deadlines on their deployment is lacking in current cloud providers. This is particularly important for adaptive applications that must automatically and seamlessly scale, migrate, or recover swiftly from failures. A common deployment procedure is to transmit application packages from the application provider to the cloud, and install the application there. Thus, users need to manually deploy their applications into clouds step by step with no guarantee regarding deadlines. In this work, we propose a Deadline-aware Deployment System (DDS) for time critical applications in clouds. DDS enables users to automatically deploy applications into clouds. We design bandwidth-aware EDF scheduling algorithms in DDS that minimize the number of deployments that miss their deadlines and maximize the utilization of network bandwidth. In the evaluation, we show that DDS leverages network bandwidth sufficiently, and significantly reduces the number of missed deadlines during deployment.
The proceedings contain 53 papers. The topics discussed include: context-aware root cause localization in distributed traces using social network analysis;enhancing the performance of deep learning model based object ...
ISBN:
(纸本)9798400704451
The proceedings contain 53 papers. The topics discussed include: context-aware root cause localization in distributed traces using social network analysis;enhancing the performance of deep learning model based object detection using parallelprocessing;fair sharing of data in autotuning research;mastering computer vision inference frameworks;matrix network analyzer: a new decomposition algorithm for phase-type queueing networks;towards efficient diagnosis of performance bottlenecks in microservice-based applications;KubePlaybook: a repository of ansible playbooks for Kubernetes auto-remediation with LLMs;efficient unsupervised latency culprit ranking in distributed traces with GNN and critical path analysis;and network analysis of microservices: a case study on Alibaba production clusters.
The Transmission Line Matrix Method (TLM) has been used extensively for modelling closed electromagnetic structures as by Johns. Johns Matrix techniques are now extending its applications to partially open structures,...
详细信息
The Transmission Line Matrix Method (TLM) has been used extensively for modelling closed electromagnetic structures as by Johns. Johns Matrix techniques are now extending its applications to partially open structures, and the modelling of planar antenna configurations becomes feasible. The TLM process yields the time response of a structure to impulsive excitation, which must usually be transformed into the frequency domain using Fourier transform techniques. Unfortunately, this requires a considerable number of computational steps, and then a considerable computational time, to yield satisfactory accuracy. In this paper we propose and describe two complementary procedures designed to significantly reduce computational expenditure. The first exploits the localised nature of the TLM process through parallelprocessing (implementation on the Connection Machine), and the other is based on the numerical processing of the TLM output using the Prony-Pisarenko Method. Both measures may be applied as well to accelerate other time domain methods such as FD-TD.
The join operation is the most costly operation in relational database management systems. distributed and parallelprocessing can effectively speed up the join operation. In this paper, we describe a number of highly...
详细信息
The proceedings contain 49 papers. The topics discussed include: Rhythm: harnessing data parallel hardware for server workloads;Paraprox: pattern-based approximation for data parallelapplications;virtual ghost: prote...
详细信息
ISBN:
(纸本)9781450323055
The proceedings contain 49 papers. The topics discussed include: Rhythm: harnessing data parallel hardware for server workloads;Paraprox: pattern-based approximation for data parallelapplications;virtual ghost: protecting applications from hostile operating systems;finding Trojan message vulnerabilities in distributed systems;REF: resource elasticity fairness with sharing incentives for multiprocessors;underprovisioning backup power infrastructure for datacenters;comprehending performance from real-world execution traces: a device-driver case;leveraging the short-term memory of hardware to diagnose production-run software failures;prototyping symbolic execution engines for interpreted languages;Q100: the architecture and design of a database processing unit;DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning;disengaged scheduling for fair, protected access to fast computational accelerators;and KVM/ARM: the design and implementation of the Linux ARM hypervisor.
distributed operating systems simplify building and executing applications on large-scale infrastructures, such as clusters, grids and clouds. These systems operate in a constantly changing environment characterized b...
详细信息
As similar queries keep springing up in real query logs, few RDF systems address this problem. In this paper, we propose Leon, a distributed RDF system, which can also deal with multi-query problem. First, we apply a ...
详细信息
ISBN:
(纸本)9783030185763;9783030185756
As similar queries keep springing up in real query logs, few RDF systems address this problem. In this paper, we propose Leon, a distributed RDF system, which can also deal with multi-query problem. First, we apply a characteristic-set-based partitioning scheme. This scheme (i) supports the fully parallelprocessing of join within characteristic sets;(ii) minimizes data communication by applying direct transmission of intermediate results instead of broadcasting. Then, Leon revisits the classical problem of multi-query optimization in the context of RDF/SPARQL. In light of the NP-hardness of the multi-query optimization for SPARQL, we propose a heuristic algorithm that partitions the input batch of queries into groups, and discover the common sub-query of multiple SPARQL queries. Our MQO algorithm incorporates with a subtle cost model to generate execution plans. Our experiments with synthetic and real datasets verify that: (i) Leon's startup overhead is low;(ii) Leon consistently outperforms centralized RDF engines by 1-2 orders of magnitude, and it is competitive with state-of-the-art distributed RDF engines;(iii) Our MQO approach consistently demonstrates 10x speedup over the baseline method.
This paper presents Open Accelerator Research Compiler (OpenARC): an open-source framework that supports the full feature set of OpenACC V1.0 and performs source-tosource transformations, targeting heterogeneous devic...
详细信息
Complex distributedapplications for control and monitoring based on high-speed networking and quality of service (QoS) constraints are found in energy, telecommunication and transportation management such as traffic ...
详细信息
暂无评论