Andreas Moshovos
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
17
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISPASS | HeadSkip: Characterizing and Accelerating 'Small' Language Models on Edge CPUs. | Ian Sartor, Karthik Ganesan, Anh Nguyen, Andreas Moshovos |
| 2024 | ACSSC | Every Bit Matters: A Hardware/Software Approach for Enabling More Powerful Machine Learning Models. | Enrique Torres-Snchez, Milos Nikolic, Kareem Ibrahim, Alberto Delmas Lascorz, Ali Hadi Zadeh, Jiahui Wang, Ameer Abdelhadi, Mostafa Mahmoud, Christina Giannoula, Andreas Moshovos |
| 2024 | ASPLOS | Atalanta: A Bit is Worth a "Thousand" Tensor Values. | Alberto Delmas Lascorz, Mostafa Mahmoud, Ali Hadi Zadeh, Milos Nikolic, Kareem Ibrahim, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos |
| 2024 | ASPLOS | Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. | Eugene Sha, Andy Wei Liu, Kareem Ibrahim, Mostafa Mahmoud, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos |
| 2024 | ISCAS | BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. | Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos |
| 2022 | ISCA | Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. | Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos |
| 2021 | MICRO | Noema: Hardware-Efficient Template Matching for Neural Population Pattern Detection. | Ameer M. S. Abdelhadi, Eugene Sha, Ciaran Bannon, Hendrik Steenland, Andreas Moshovos |
| 2021 | MICRO | FPRaker: A Processing Element For Accelerating Neural Network Training. | Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos |
| 2020 | DAC | Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. | Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos |
| 2020 | MICRO | TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. | Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos |
| 2020 | MICRO | GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. | Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos |
| 2019 | ASPLOS | Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. | Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos |
| 2019 | BIBE | MemAlign: A Memory Structure to Accelerate Gene Sequencing. | Meysam Roodi, Andreas Moshovos |
| 2019 | ISCA | Laconic deep learning inference acceleration. | Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos |
| 2019 | ISPASS | Characterizing Sources of Ineffectual Computations in Deep Learning Networks. | Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert Mullins |
| 2019 | MICRO | ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. | Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos |
| 2018 | DAC | Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. | Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, Andreas Moshovos |
| 2018 | MICRO | Diffy: a Dj vu-Free Differential Deep Neural Network Accelerator. | Mostafa Mahmoud, Kevin Siu, Andreas Moshovos |
| 2018 | MICRO | Value-Based Deep Learning Hardware Acceleration. | Andreas Moshovos |
| 2017 | ICLR | Bit-Pragmatic Deep Neural Network Computing. | Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos |
| 2017 | MICRO | Bit-pragmatic deep neural network computing. | Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos |
| 2017 | MICRO | IDEAL: image denoising accelerator. | Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos |
| 2016 | ISCA | Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. | Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | ICS | Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | ISPASS | Message from the program chair. | Andreas Moshovos |
| 2016 | MICRO | Stripes: Bit-serial deep neural network computing. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos |
| 2015 | HPCA | Prediction-based superpage-friendly TLB designs. | Misel-Myrto Papadopoulou, Xin Tong, Andr Seznec, Andreas Moshovos |
| 2015 | ISPASS | QTrace: a framework for customizable full system instrumentation. | Xin Tong, Andreas Moshovos |
| 2015 | MICRO | Self-contained, accurate precomputation prefetching. | Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos |
| 2015 | MICRO | Doppelgnger: a cache for approximate computing. | Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger |
| 2014 | FCCM | An Architectural Approach to Characterizing and Eliminating Sources of Inefficiency in a Soft Processor Design. | Kaveh Aasaraai, Andreas Moshovos |
| 2014 | FCCM | Image Signal Processors on FPGAs. | Di Wu, Andreas Moshovos |
| 2014 | ICCD | BarTLB: Barren page resistant TLB for managed runtime languages. | Xin Tong, Andreas Moshovos |
| 2014 | MICRO | Wormhole: Wisely Predicting Multidimensional Branches. | Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos |
| 2013 | DATE | A dual grain hit-miss detector for large die-stacked DRAM caches. | Michel El-Nacouzi, Islam Atta, Myrto Papadopoulou, Jason Zebchuk, Natalie D. Enright Jerger, Andreas Moshovos |
| 2013 | DATE | Characterizing the performance benefits of fused CPU/GPU systems using FusionSim. | Vitaly Zakharenko, Tor M. Aamodt, Andreas Moshovos |
| 2013 | FPL | Low-cost, high-performance branch predictors for soft processors. | Di Wu, Kaveh Aasaraai, Andreas Moshovos |
| 2013 | HPCA | RECAP: A region-based cure for the common cold (cache). | Jason Zebchuk, Harold W. Cain, Xin Tong, Vijayalakshmi Srinivasan, Andreas Moshovos |
| 2013 | ISCA | STREX: boosting instruction cache reuse in OLTP workloads through stratified transaction execution. | Islam Atta, Pinar Tzn, Xin Tong, Anastasia Ailamaki, Andreas Moshovos |
| 2013 | ISPASS | QTrace: An interface for customizable full system instrumentation. | Xin Tong, Jack Luo, Andreas Moshovos |
| 2013 | MICRO | Multi-grain coherence directories. | Jason Zebchuk, Babak Falsafi, Andreas Moshovos |
| 2012 | DaMoN | Reducing OLTP instruction misses with thread migration. | Islam Atta, Pinar Tzn, Anastasia Ailamaki, Andreas Moshovos |
| 2012 | DATE | Toward virtualizing branch direction prediction. | Maryam Sadooghi-Alvandi, Kaveh Aasaraai, Andreas Moshovos |
| 2012 | MICRO | SLICC: Self-Assembly of Instruction Cache Collectives for OLTP Workloads. | Islam Atta, Pinar Tzn, Anastasia Ailamaki, Andreas Moshovos |
| 2010 | ISPASS | Demystifying GPU microarchitecture through microbenchmarking. | Henry Wong, Misel-Myrto Papadopoulou, Maryam Sadooghi-Alvandi, Andreas Moshovos |
| 2009 | ASPLOS | Phantom-BTB: a virtualized branch target buffer design. | Ioana Burcea, Andreas Moshovos |
| 2009 | FPL | Towards a viable out-of-order soft core: Copy-Free, checkpointed register renaming. | Kaveh Aasaraai, Andreas Moshovos |
| 2009 | HPCA | Practical off-chip meta-data for temporal memory streaming. | Thomas F. Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos |
| 2009 | MICRO | A tagless coherence directory. | Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin K. Qureshi, Andreas Moshovos |
| 2008 | ASPLOS | Predictor virtualization. | Ioana Burcea, Stephen Somogyi, Andreas Moshovos, Babak Falsafi |
| 2008 | ISLPED | A physical level study and optimization of CAM-based checkpointed register alias table. | Elham Safi, Andreas Moshovos, Andreas G. Veneris |
| 2008 | MICRO | Temporal instruction fetch streaming. | Michael Ferdman, Thomas F. Wenisch, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos |
| 2007 | ISCA | Mechanisms for store-wait-free multiprocessors. | Thomas F. Wenisch, Anastassia Ailamaki, Babak Falsafi, Andreas Moshovos |
| 2007 | ISLPED | On the latency, energy and area of checkpointed, superscalar register alias tables. | Elham Safi, Patrick Akl, Andreas Moshovos, Andreas G. Veneris, Aggeliki Arapoyanni |
| 2007 | MICRO | A Framework for Coarse-Grain Optimizations in the On-Chip Memory Hierarchy. | Jason Zebchuk, Elham Safi, Andreas Moshovos |
| 2006 | ISCA | Spatial Memory Streaming. | Stephen Somogyi, Thomas F. Wenisch, Anastassia Ailamaki, Babak Falsafi, Andreas Moshovos |
| 2006 | ICS | BranchTap: improving performance with very few checkpoints through adaptive speculation control. | Patrick Akl, Andreas Moshovos |
| 2006 | ISLPED | L-CBF: a low-power, fast counting bloom filter architecture. | Elham Safi, Andreas Moshovos, Andreas G. Veneris |
| 2005 | ICCD | RECAST: Boosting Tag Line Buffer Coverage in Low-Power High-Level Caches "for Free". | Won-Ho Park, Andreas Moshovos, Babak Falsafi |
| 2005 | ISCA | RegionScout: Exploiting Coarse Grain Sharing in Snoop-Based Coherence. | Andreas Moshovos |
| 2004 | HPCA | Accurate and Complexity-Effective Spatial Pattern Prediction. | Chi F. Chen, Se-Hyun Yang, Babak Falsafi, Andreas Moshovos |
| 2004 | ISLPED | SEPAS: a highly accurate energy-efficient branch predictor. | Amirali Baniasadi, Andreas Moshovos |
| 2003 | ISLPED | Checkpointing alternatives for high performance, power-aware processors. | Andreas Moshovos |
| 2002 | ICCD | Branch Predictor Prediction: A Power-Aware Branch Predictor for High-Performance Processors. | Amirali Baniasadi, Andreas Moshovos |
| 2002 | ISLPED | Low-leakage asymmetric-cell SRAM. | Navid Azizi, Andreas Moshovos, Farid N. Najm |
| 2002 | ISLPED | Asymmetric-frequency clustering: a power-aware back-end for high-performance processors. | Amirali Baniasadi, Andreas Moshovos |
| 2001 | HPCA | JETTY: Filtering Snoops for Reduced Energy Consumption in SMP Servers. | Andreas Moshovos, Gokhan Memik, Babak Falsafi, Alok N. Choudhary |
| 2001 | ICS | Slice-processors: an implementation of operation-based prediction. | Andreas Moshovos, Dionisios N. Pnevmatikatos, Amirali Baniasadi |
| 2001 | ISLPED | Instruction flow-based front-end throttling for power-aware high-performance processors. | Amirali Baniasadi, Andreas Moshovos |
| 2001 | ISPASS | Behavior and performance of interactive multi-player game servers. | Ahmed Abdelkhalek, Angelos Bilas, Andreas Moshovos |
| 2000 | HPCA | Memory Dependence Speculation Tradeoffs in Centralized, Continuous-Window Superscalar Processors. | Andreas Moshovos, Gurindar S. Sohi |
| 2000 | ISCA | CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit. | Zhi Alex Ye, Andreas Moshovos, Scott Hauck, Prithviraj Banerjee |
| 2000 | MICRO | Instruction distribution heuristics for quad-cluster, dynamically-scheduled, superscalar processors. | Amirali Baniasadi, Andreas Moshovos |
| 1999 | ICS | Improving virtual function call target prediction via dependence-based pre-computation. | Amir Roth, Andreas Moshovos, Gurindar S. Sohi |
| 1999 | MICRO | Read-After-Read Memory Dependence Prediction. | Andreas Moshovos, Gurindar S. Sohi |
| 1998 | ASPLOS | Dependance Based Prefetching for Linked Data Structures. | Amir Roth, Andreas Moshovos, Gurindar S. Sohi |
| 1997 | ISCA | Dynamic Speculation and Synchronization of Data Dependences. | Andreas Moshovos, Scott E. Breach, T. N. Vijaykumar, Gurindar S. Sohi |
| 1997 | MICRO | Streamlining Inter-Operation Memory Communication via Data Dependence Prediction. | Andreas Moshovos, Gurindar S. Sohi |