- Home
- » Tags
- » Stream processing
Top View
- Parallel and Distributed Stream Processing: Systems Classification and Specific Issues Roland Kotto-Kombi, Nicolas Lumineau, Philippe Lamarre, Yves Caniou
- Mapping Streaming Applications to Opencl Abhishek Ray*1 *Student Author 1Nanyang Technological University
- The Aurora and Borealis Stream Processing Engines
- A Hardware-Oblivious Optimizer for Data Stream Processing
- Multiple Cores + SIMD + Threads) (And Their Performance Characteristics
- Towards Concurrent Stateful Stream Processing on Multicore Processors
- GPU Processing of Streaming Data: a CUDA Implementation of the Firehose Benchmark
- Programmable Stream Processors
- The 8 Requirements of Real-Time Stream Processing
- Hardware-Conscious Stream Processing: a Survey
- The Power of In-Memory Computing: from Supercomputing to Stream Processing
- The Playstation 3 for High- Performance Scientific Computing
- Stela: Enabling Stream Processing Systems to Scale-In And
- A Rough Guide to Scientific Computing on The
- Data Integration and Analysis 11 Distributed Data‐Parallel Computation
- Auto-Pipelining for Data Stream Processing
- AMD Opteron Dual Core Processor
- Tryton Supercomputer Capabilities for Analysis of Massive Data Streams
- Stream Processing on High-Bandwidth Memory
- Survey of Distributed Stream Processing Supun Kamburugamuve, Geoffrey Fox School of Informatics and Computing Indiana University, Bloomington, IN, USA
- Stream Processing on Multi-Cores with Gpus: Parallel Programming Models’ Challenges
- Design and Test Based on Stream Processor Programmable Cluster
- Stream Processing with CUDATM a Case Study Using Gamebryo's Floodgate Technology Dan Amerson, Technical Director, Emergent Game Technologies
- Stream Processors: Programmability with Efficiency
- A General-Purpose Data Streaming Framework on GPU Clusters∗
- Toward High-Performance Distributed Stream Processing Via Approximate
- Massively Parallel Stream Processing with Latency Guarantees
- GPGPU” Computing and the CUDA/Opencl Programming Model
- "Programming Issues for Video Analysis on Graphics Processing
- Toward GPU Accelerated Data Stream Processing
- Making Sense of Stream Processing
- A Rough Guide to Scientific Computing on the Playstation 3
- A Performance Comparison of CUDA and Opencl
- Accelerated Complex Event Processing with Gpgpus
- Towards High Performance Processing of Streaming Data in Large Data Centers
- A Comprehensive Survey on Parallelization and Elasticity in Stream Processing
- MIMD, SIMD, GPU, and Others Technology Space for Parallel Processing: Status and Trends
- Softcore Vector Processor for Biosequence Applications
- Compilation of Opencl Programs for Stream Processing Architectures
- The Playstation 3 for High Performance Scientific Computing
- MPI Streams for HPC Applications
- Distributed Stream Processing with DUP
- Processing Real-Time Data Streams on GPU-Based Systems
- Simple Stream Processing Examples: Stateless Conversion Examples
- Task Scheduling in Data Stream Processing*
- Stream Processing in General-Purpose Processors
- Dataflow at the COSMIC Beamline - Stream Processing and Supercomputing
- Stream Processing with CUDA G
- Confluent Stream Processing Using Apache Kafka® Streams & Ksqldb
- Stream Vector Processing Unit: Stream Processing Using SIMD on a General Purpose Processor
- Processing High-Volume Stream Queries on a Supercomputer
- Stream Processors and Gpus: Architectures for High Performance Computing
- Unlimited Vector Extension with Data Streaming Support
- A Parameterizable SIMD Stream Processor
- Lecture 16 Scribe Notes
- An MPI-Stream Hybrid Programming Model for Computational Clusters
- A Modern Multi-Core Processor (Forms of Parallelism + Understanding Latency and Bandwidth)
- ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
- Efficient Stream Data Management
- From a Calculus to an Execution Environment for Stream Processing
- Rethinking Adaptability in Wide-Area Stream Processing Systems
- Stream Processor Architecture
- Diplip: Distributed Parallel Processing Platform for Stream Image Processing Based on Deep Learning Model Inference
- Dataflow Programming for Stream Processing
- Stream Processing on High-Bandwidth Memory
- Analyzing Efficient Stream Processing on Modern Hardware