Tiziano De Matteis

Latest

• ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing
• FootPrinter: Quantifying Data Center Carbon Footprint
• The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions
• Streaming Task Graph Scheduling for Dataflow Architectures
• Noise in the Clouds: Influence of Network Performance Variability on Application Scalability
• Python FPGA Programming with Data-Centric Multi-Level Design
• Productivity, Portability, Performance: Data-Centric Python
• StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems
• FBLAS: Streaming Linear Algebra on FPGA
• Streaming Message Interface: High-Performance DistributedMemory Programming on Reconfigurable Hardware
• GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs
• D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes
• Reducing Message Latency and CPU Utilization in the CAF Actor Framework
• Simplifying self-adaptive and power-aware computing with Nornir
• The RePhrase Extended Pattern Set for Data Intensive Parallel Computing
• Bringing Parallel Patterns Out of the Corner: The P$^3$ARSEC Benchmark Suite
• On dynamic memory allocation in sliding-window parallel patterns for streaming analytics
• Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams
• Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach
• Elastic Scaling for Distributed Latency-sensitive Data Stream Operators
• Evaluating Concurrency Throttling and Thread Packing on SMT Multicores
• Nornir: A Customisable Framework for Autonomic and Power-Aware Applications
• P$^3$ARSEC: Towards Parallel Patterns Benchmarking
• Proactive elasticity and energy awareness in data stream processing
• A Divide-and-conquer Parallel Pattern Implementation for Multicores
• Continuous Skyline Queries on Multicore Architectures
• Data stream processing via code annotations
• Keep Calm and React with Foresight: Strategies for Low-Latency and Energy-Efficient Elastic Data Stream Processing
• Parallel Patterns for Adaptive Data Stream Processing
• A Multicore Parallelization of Continuous Skyline Queries on Data Streams
• Parallelizing High-Frequency Trading Applications by using C+ + 11 Attributes
• Autonomic Parallel Data Stream Processing
• A High-Throughput and Low-Latency Parallelization of Window-based Stream Joins on Multicores
• A Lightweight Run-Time Support for Fast Dense Linear Algebra on Multi-Core
• Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading
• Evaluation of Architectural Supports for Fine-Grained Synchronization Mechanisms