Christina Giannoula

Orcid: 0000-0003-0162-4547

According to our database1, Christina Giannoula authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Accelerating Graph Neural Networks on Real Processing-In-Memory Systems.
CoRR, 2024

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis.
IEEE Access, 2024

Minuet: Accelerating 3D Sparse Convolutions on GPUs.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Atalanta: A Bit is Worth a "Thousand" Tensor Values.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
High-performance and balanced parallel graph coloring on multicore platforms.
J. Supercomput., April, 2023

DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

The Synergy of Speculative Decoding and Batching in Serving Large Language Models.
CoRR, 2023

Architectural Support for Efficient Data Movement in Disaggregated Systems.
CoRR, 2023

DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems.
CoRR, 2023

Architectural Support for Efficient Data Movement in Fully Disaggregated Systems.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

2022
SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Accelerating Irregular Applications via Efficient Synchronization and Data Access Techniques.
CoRR, 2022

Accelerating Time Series Analysis via Processing using Non-Volatile Memories.
CoRR, 2022

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory.
CoRR, 2022

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems.
CoRR, 2022

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems.
CoRR, 2022

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System.
IEEE Access, 2022

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures.
Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Exploiting Near-Data Processing to Accelerate Time Series Analysis.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture.
CoRR, 2021

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware.
Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

2020
NATSA: A Near-Data Processing Accelerator for Time Series Analysis.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

An adaptive concurrent priority queue for NUMA architectures.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
Combining HTM with RCU to Speed Up Graph Coloring on Multicore Platforms.
Proceedings of the High Performance Computing - 33rd International Conference, 2018


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