Publications

(2024). Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'24).

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(2024). The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions. 15th ACM/SPEC International Conference on Performance Engineering (ICPE'24).

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(2024). FootPrinter: Quantifying Data Center Carbon Footprint. Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE ’24 Companion).

(2024). ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing. Future Generation Computer Systems.

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(2024). Developing a BLAS library for the AMD AI Engine.

arXiv URL

(2023). Streaming Task Graph Scheduling for Dataflow Architectures. Proceedings of the 32th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'23).

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(2022). Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. Proc. ACM Meas. Anal. Comput. Syst..

(2022). Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. Proceedings of the International Conference on Computer-Aided Design (ICCAD22).

(2022). Python FPGA Programming with Data-Centric Multi-Level Design.

arXiv

(2021). Productivity, Portability, Performance: Data-Centric Python. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC21).

(2021). StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. Proceedings of the 19th ACM/IEEE International Symposium on Code Generation and Optimization (CGO'21).

(2020). FBLAS: Streaming Linear Algebra on FPGA. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20).

(2019). Streaming Message Interface: High-Performance DistributedMemory Programming on Reconfigurable Hardware. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19).

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(2019). GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access.

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(2018). Simplifying self-adaptive and power-aware computing with Nornir. Future Generation Computer Systems.

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(2018). Reducing Message Latency and CPU Utilization in the CAF Actor Framework. Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2018.

(2018). D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

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(2017). The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. International Journal of Parallel Programming.

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(2017). Bringing Parallel Patterns Out of the Corner: The P$^3$ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim..

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(2017). Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Transactions on Parallel and Distributed Systems.

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(2017). On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. The Journal of Supercomputing.

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(2017). Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach. International Journal of Parallel Programming.

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(2017). Proactive elasticity and energy awareness in data stream processing . *Journal of Systems and Software *.

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(2017). P$^3$ARSEC: Towards Parallel Patterns Benchmarking. Proceedings of the 32nd Annual ACM Symposium on Applied Computing.

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(2017). Nornir: A Customisable Framework for Autonomic and Power-Aware Applications. Euro-Par 2017 Workshops, Proc. of the Auto-DaSP Workshop.

(2017). Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. Proceedings of the 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2017.

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(2017). Elastic Scaling for Distributed Latency-sensitive Data Stream Operators. Proceedings of the 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2017.

(2016). Parallel Patterns for Adaptive Data Stream Processing.

(2016). Keep Calm and React with Foresight: Strategies for Low-Latency and Energy-Efficient Elastic Data Stream Processing. Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).

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(2016). Data stream processing via code annotations. The Journal of Supercomputing.

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(2016). Continuous Skyline Queries on Multicore Architectures. Concurrency and Computation: Practice and Experience.

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(2016). A Divide-and-conquer Parallel Pattern Implementation for Multicores. Proceedings of the 3rd International Workshop on Software Engineering for Parallel Systems.

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(2015). Parallelizing High-Frequency Trading Applications by using C+ + 11 Attributes. Proceedings of the first IEEE International Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms.

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(2015). A Multicore Parallelization of Continuous Skyline Queries on Data Streams. Proceedings of the 2015 International Conference on Parallel Processing (Euro-Par).

(2014). Autonomic Parallel Data Stream Processing. High Performance Computing Simulation (HPCS), 2014 International Conference on.

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(2014). Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading. Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on.

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(2014). A Lightweight Run-Time Support for Fast Dense Linear Algebra on Multi-Core. Proceedings of 12th IASTED International Conference on Parallel and Distributed Computing and Networks.

(2014). A High-Throughput and Low-Latency Parallelization of Window-based Stream Joins on Multicores. 12th IEEE International Symposium on Parallel and Distributed Processing with Applications.

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(2013). Evaluation of Architectural Supports for Fine-Grained Synchronization Mechanisms. Proceedings of the 11th IASTED International Conference on Parallel and Distributed Computing and Networks.