Combining HTM with RCU to Speed Up Graph Coloring on Multicore Platforms. - Christina Giannoula; Georgios I. Goumas; Nectarios Koziris (ISC, 2018)

An adaptive concurrent priority queue for NUMA architectures. - Foteini Strati; Christina Giannoula; Dimitrios Siakavaras; Georgios I. Goumas; Nectarios Koziris (CF, 2019)

SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. - Konstantinos Kanellopoulos; Nandita Vijaykumar; Christina Giannoula; Roknoddin Azizi; Skanda Koppula; Nika Mansouri-Ghiasi; Taha Shahroodi; Juan Gómez-Luna; Onur Mutlu (MICRO, 2019)

NATSA: A Near-Data Processing Accelerator for Time Series Analysis. - Ivan Fernandez; Ricardo Quislant; Eladio Gutiérrez; Oscar G. Plata; Christina Giannoula; Mohammed Alser; Juan Gómez-Luna; Onur Mutlu (ICCD, 2020)

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware. - Juan Gómez-Luna; Izzat El Hajj; Ivan Fernandez; Christina Giannoula; Geraldo F. Oliveira; Onur Mutlu (IGSC (Workshops), 2021)

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures. - Christina Giannoula; Nandita Vijaykumar; Nikela Papadopoulou; Vasileios Karakostas; Ivan Fernandez; Juan Gómez-Luna; Lois Orosa 001; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (HPCA, 2021)

Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture. - Juan Gómez-Luna; Izzat El Hajj; Ivan Fernandez; Christina Giannoula; Geraldo F. Oliveira; Onur Mutlu (CoRR, 2021)

Exploiting Near-Data Processing to Accelerate Time Series Analysis. - Ivan Fernandez; Ricardo Quislant; Christina Giannoula; Mohammed Alser; Juan Gómez-Luna; Eladio Gutiérrez; Oscar G. Plata; Onur Mutlu (ISVLSI, 2022)

SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. - Christina Giannoula; Ivan Fernandez; Juan Gómez-Luna; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (ISVLSI, 2022)

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. - Christina Giannoula; Ivan Fernandez; Juan Gómez-Luna; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (SIGMETRICS (Abstracts), 2022)

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System. - Juan Gómez-Luna; Izzat El Hajj; Ivan Fernandez; Christina Giannoula; Geraldo F. Oliveira; Onur Mutlu (IEEE Access, 2022)

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems. - Christina Giannoula; Ivan Fernandez; Juan Gómez-Luna; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (CoRR, 2022)

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems. - Christina Giannoula; Ivan Fernandez; Juan Gómez-Luna; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (CoRR, 2022)

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. - Nika Mansouri-Ghiasi; Mohammad Sadrosadati; Geraldo F. Oliveira; Konstantinos Kanellopoulos; Rachata Ausavarungnirun; Juan Gómez-Luna; Aditya Manglik; João Dinis Ferreira; Jeremie S. Kim; Christina Giannoula; Nandita Vijaykumar; Jisung Park 001; et al. (CoRR, 2022)

Accelerating Time Series Analysis via Processing using Non-Volatile Memories. - Ivan Fernandez; Aditya Manglik; Christina Giannoula; Ricardo Quislant; Nika Mansouri-Ghiasi; Juan Gómez-Luna; Eladio Gutiérrez; Oscar G. Plata; Onur Mutlu (CoRR, 2022)

Accelerating Irregular Applications via Efficient Synchronization and Data Access Techniques. - Christina Giannoula (CoRR, 2022)

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. - Christina Giannoula; Ivan Fernandez; Juan Gómez-Luna; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (SIGMETRICS (Abstracts), 2023)

DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (CoRR, 2023)

Architectural Support for Efficient Data Movement in Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (CoRR, 2023)

The Synergy of Speculative Decoding and Batching in Serving Large Language Models. - Qidong Su; Christina Giannoula; Gennady Pekhimenko (CoRR, 2023)

DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (Proc. ACM Meas. Anal. Comput. Syst., 2023)

High-performance and balanced parallel graph coloring on multicore platforms. - Christina Giannoula; Athanasios Peppas; Georgios I. Goumas; Nectarios Koziris (J. Supercomput., 2023)

Every Bit Matters: A Hardware/Software Approach for Enabling More Powerful Machine Learning Models. - Enrique Torres-Sánchez; Milos Nikolic 002; Kareem Ibrahim; Alberto Delmas Lascorz; Ali Hadi Zadeh; Jiahui Wang; Ameer Abdelhadi; Mostafa Mahmoud; Christina Giannoula; Andreas Moshovos (IEEECONF, 2024)

Atalanta: A Bit is Worth a "Thousand" Tensor Values. - Alberto Delmas Lascorz; Mostafa Mahmoud; Ali Hadi Zadeh; Milos Nikolic 002; Kareem Ibrahim; Christina Giannoula; Ameer Abdelhadi; Andreas Moshovos (ASPLOS (2), 2024)

Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. - Eugene Sha; Andy Liu; Kareem Ibrahim; Mostafa Mahmoud; Christina Giannoula; Ameer Abdelhadi; Andreas Moshovos (ASPLOS (2), 2024)

Minuet: Accelerating 3D Sparse Convolutions on GPUs. - Jiacheng Yang; Christina Giannoula; Jun Wu; Mostafa Elhoushi; James Gleeson 001; Gennady Pekhimenko (EuroSys, 2024)

Sylva: Sparse Embedded Adapters via Hierarchical Approximate Second-Order Information. - Baorun Mu; Christina Giannoula; Shang Wang 002; Gennady Pekhimenko (ICS, 2024)

Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models. - Cheng Chen; Christina Giannoula; Andreas Moshovos (IISWC, 2024)

Proteus: Preserving Model Confidentiality during Graph Optimizations. - Yubo Gao; Maryam Haghifam; Christina Giannoula; Renbo Tu; Gennady Pekhimenko; Nandita Vijaykumar (MLSys, 2024)

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis. - Ivan Fernandez; Christina Giannoula; Aditya Manglik; Ricardo Quislant; Nika Mansouri-Ghiasi; Juan Gómez-Luna; Eladio Gutiérrez; Oscar G. Plata; Onur Mutlu (IEEE Access, 2024)

Accelerating Graph Neural Networks on Real Processing-In-Memory Systems. - Christina Giannoula; Peiming Yang; Ivan Fernandez Vega; Jiacheng Yang; Yu Xin Li; Juan Gómez-Luna; Mohammad Sadrosadati; Onur Mutlu; Gennady Pekhimenko (CoRR, 2024)

SmartPQ: An Adaptive Concurrent Priority Queue for NUMA Architectures. - Christina Giannoula; Foteini Strati; Dimitrios Siakavaras; Georgios I. Goumas; Nectarios Koziris (CoRR, 2024)

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems. - Christian Pinto; Dong Li; Thaleia Dimitra Doudali; Christina Giannoula; Jie Ren (CoRR, 2024)

Evaluating the Effectiveness of Microarchitectural Hardware Fault Detection for Application-Specific Requirements. - Konstantinos-Nikolaos Papadopoulos; Christina Giannoula; Nikolaos-Charalampos Papadopoulos; Nektarios Koziris; Jose M. G. Merayo; Dionisios N. Pnevmatikatos (CoRR, 2024)

ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering. - Sankeerth Durvasula; Adrian Zhao; Fan Chen; Ruofan Liang; Pawan Kumar Sanjaya; Yushi Guan; Christina Giannoula; Nandita Vijaykumar (ASPLOS (1), 2025)

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System. - Yintao He; Haiyu Mao; Christina Giannoula; Mohammad Sadrosadati; Juan Gómez-Luna; Huawei Li 001; Xiaowei Li 001; Ying Wang 001; Onur Mutlu (ASPLOS (2), 2025)

Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. - Zhanda Zhu; Christina Giannoula; Muralidhar Andoorveedu; Qidong Su; Karttikeya Mangalam; Bojian Zheng; Gennady Pekhimenko (EuroSys, 2025)

PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures. - Christina Giannoula; Peiming Yang; Ivan Fernandez; Jiacheng Yang; Sankeerth Durvasula; Yu Xin Li; Mohammad Sadrosadati; Juan Gómez-Luna; Onur Mutlu; Gennady Pekhimenko (SIGMETRICS (Abstracts), 2025)

DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees. - Pawan Kumar Sanjaya; Christina Giannoula; Ian Colbert; Ihab Amer; Mehdi Saeedi; Gabor Sines; Nandita Vijaykumar (IEEE Comput. Archit. Lett., 2025)

Seesaw: High-throughput LLM Inference via Model Re-sharding. - Qidong Su; Wei Zhao 046; Xin Li; Muralidhar Andoorveedu; Chenhao Jiang; Zhanda Zhu; Kevin Song; Christina Giannoula; Gennady Pekhimenko (CoRR, 2025)