The proceedings contain 222 papers. The topics discussed include: DRL-deploy: adaptive service function chains deployment with deep reinforcement learning;accuracy vs. efficiency: achieving both through hardware-aware...
ISBN:
(纸本)9781665435741
The proceedings contain 222 papers. The topics discussed include: DRL-deploy: adaptive service function chains deployment with deep reinforcement learning;accuracy vs. efficiency: achieving both through hardware-aware quantization and reconfigurable architecture with mixed precision;cmss: collaborative modeling of safety and security requirements for network protocols;FGPA: fine-grained pipelined acceleration for depthwise separable CNN in resource constraint scenarios;Dyacon: JointCloud dynamic access control model of data security based on verifiable credentials;understanding the runtime overheads of deep learning inference on edge devices;and alleviating imbalance in synchronous distributed training of deep neural networks.
The proceedings contain 22 papers. The topics discussed include: spying on the floating point behavior of existing, unmodified scientific applications;high accuracy matrix computations on neural engines: a study of QR...
ISBN:
(纸本)9781450370523
The proceedings contain 22 papers. The topics discussed include: spying on the floating point behavior of existing, unmodified scientific applications;high accuracy matrix computations on neural engines: a study of QR factorization and its applications;space-efficient k-d tree-based storage format for sparse tensors;modeling the temporally constrained preemptions of transient cloud VMs;cloud-scale VM-deflation for running interactive applications on transient servers;funcX: a federated function serving fabric for science;towards HPC I/O performance prediction through large-scale log analysis;significantly improving lossy compression for HPC datasets with second-order prediction and parameter optimization;DCDB Wintermute: enabling online and holistic operational data analytics on HPC systems;and FFT-based gradient sparsification for the distributed training of deep neural networks.
The proceedings contain 47 papers. The topics discussed include: ElasticRoom: multi-tenant DNN inference engine via co-design with resource-constrained compilation and strong priority scheduling;efficient all-to-all c...
ISBN:
(纸本)9798400704130
The proceedings contain 47 papers. The topics discussed include: ElasticRoom: multi-tenant DNN inference engine via co-design with resource-constrained compilation and strong priority scheduling;efficient all-to-all collective communication schedules for direct-connect topologies;ESG: pipeline-conscious efficient scheduling of DNN workflows on serverless platforms with shareable GPUs;ETS: deep learning training iteration time prediction based on execution trace sliding window;IDT: intelligent data placement for multi-tiered main memory with reinforcement learning;FaaSKeeper: learning from building serverless services with ZooKeeper as an example;accelerating function-centric applications by discovering, distributing, and retaining reusable context in workflow systems;and Faast: an efficient serverless framework made snapshot-based function response fast.
The proceedings contain 32 papers. The topics discussed include: DAOS: data access-aware operating system;FPVM: towards a floating point virtual machine;lifting and dropping VMs to dynamically transition between time-...
ISBN:
(纸本)9781450391993
The proceedings contain 32 papers. The topics discussed include: DAOS: data access-aware operating system;FPVM: towards a floating point virtual machine;lifting and dropping VMs to dynamically transition between time- and space-sharing for large-scale HPC systems;access patterns and performance behaviors of multi-layer supercomputer I/O subsystems under production load;capri: compiler and architecture support for whole-system persistence;understanding memory failures on a petascale arm system;SchedInspector: a batch job scheduling inspector using reinforcement learning;Holmes: SMT interference diagnosis and CPU scheduling for job co-location;TLPGNN: a lightweight two-level parallelism paradigm for graph neural network computation on GPU;and TAC: optimizing error-bounded lossy compression for three-dimensional adaptive mesh refinement simulations.
The proceedings contain 117 papers. The topics discussed include: detection of a novel dual attack in named data networking;fair DMA scheduler for low-latency accelerator offloading;multi-attribute decision-making met...
ISBN:
(纸本)9781665464970
The proceedings contain 117 papers. The topics discussed include: detection of a novel dual attack in named data networking;fair DMA scheduler for low-latency accelerator offloading;multi-attribute decision-making method based on interval intuitionistic trapezoidal fuzzy number to determine the expert weight: note: sub-titles are not captured in Xplore and should not be used;binary-level directed symbolic execution through pattern learning;an efficient metric-based approach for static use-after-free detection;a graph convolution neural network based method for insider threat detection;maintenance worker scheduling for charging pile fault: a multi-agent RL approach;towards secure bilateral friend query with conjunctive policy matching in social networks;structure-noise-aware anchor link prediction across social networks;file system to support secure cloud-based sharing;discovering agent models using process mining: initial approach and a case study;and towards agent-based simulation of the parallel trading market of pharmaceuticals.
The proceedings contain 4 papers. The topics discussed include: quantum transfer learning for sentiment analysis: an experiment on an Italian corpus;multi-class quantum convolutional neural networks;practical implemen...
ISBN:
(纸本)9798400706462
The proceedings contain 4 papers. The topics discussed include: quantum transfer learning for sentiment analysis: an experiment on an Italian corpus;multi-class quantum convolutional neural networks;practical implementation of a quantum string matching algorithm;and speeding up answer set programming by quantum computing.
The proceedings contain 311 papers. The topics discussed include: a robust image hashing with enhanced randomness by using random walk on zigzag blocking;securing fast learning! ridge regression over encrypted big dat...
ISBN:
(纸本)9781509032051
The proceedings contain 311 papers. The topics discussed include: a robust image hashing with enhanced randomness by using random walk on zigzag blocking;securing fast learning! ridge regression over encrypted big data;computational trust model for repeated trust games;formal analysis of selective disclosure attribute-based credential system in applied Pi calculus;node trust prediction framework in mobile ad hoc networks;trust enhancement over range search for encrypted data;healthcare fraud detection based on trustworthiness of doctors;integrated security for services hosted in virtual environments;a permissioned blockchain framework for supporting instant transaction and dynamic block size;trust validation of cloud IaaS: a customer-centric approach;distributed bitcoin account management;trusted Boolean search on cloud using searchable symmetric encryption;and dynamic attribute-based access control in cloud storage systems.
The proceedings contain 3 papers. The topics discussed include: analysis and evaluation of load management strategies in a decentralized FaaS environment: a simulation-based framework;live migration of multi-container...
ISBN:
(纸本)9798400706479
The proceedings contain 3 papers. The topics discussed include: analysis and evaluation of load management strategies in a decentralized FaaS environment: a simulation-based framework;live migration of multi-container Kubernetes pods in multi-cluster serverless edge systems;and comparing actor-critic and neuroevolution approaches for traffic offloading in FaaS-powered edge systems.
The proceedings contain 3 papers. The topics discussed include: ECO-LLM: LLM-based edge cloud optimization;toward using representation learning for cloud resource usage forecasting;and MPIrigen: MPI code generation th...
ISBN:
(纸本)9798400706523
The proceedings contain 3 papers. The topics discussed include: ECO-LLM: LLM-based edge cloud optimization;toward using representation learning for cloud resource usage forecasting;and MPIrigen: MPI code generation through domain-specific language models.
The proceedings contain 3 papers. The topics discussed include: cost-efficient construction of performance models;using benchmarking and regression models for predicting CNN training time on a GPU;and benchmarking mac...
ISBN:
(纸本)9798400706455
The proceedings contain 3 papers. The topics discussed include: cost-efficient construction of performance models;using benchmarking and regression models for predicting CNN training time on a GPU;and benchmarking machine learning applications on heterogeneous architecture using reframe.
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