Andreas Moshovos

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 60

Top Venues

Publications

Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Kareem Ibrahim, Andreas Moshovos
Schrodinger's FP Training Neural Networks with Dynamic Floating-Point Containers. MLSys (2024)
Eugene Sha, Andy Liu, Kareem Ibrahim, Mostafa Mahmoud, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos
Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. ASPLOS (2) (2024)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS (2024)
Alberto Delmas Lascorz, Mostafa Mahmoud, Ali Hadi Zadeh, Milos Nikolic, Kareem Ibrahim, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos
Atalanta: A Bit is Worth a "Thousand" Tensor Values. ASPLOS (2) (2024)
Rahul Gulve, Navid Sarhangnejad, Gairik Dutta, Motasem Sakr, Don Nguyen, Roberto Rangel, Wenzheng Chen, Zhengfan Xia, Mian Wei, Nikita Gusev, Esther Y. H. Lin, Xiaonong Sun, Leo Hanxu, Nikola Katic, Ameer M. S. Abdelhadi, Andreas Moshovos, Kiriakos N. Kutulakos, Roman Genov
39 000-Subexposures/s Dual-ADC CMOS Image Sensor With Dual-Tap Coded-Exposure Pixels for Single-Shot HDR and 3-D Computational Imaging. IEEE J. Solid State Circuits 58 (11) (2023)
Mohamed A. Elgammal, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz
cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. HEART (2023)
Ameer Abdelhadi, Eugene Sha, Andreas Moshovos
A Massive-Scale Brain Activity Decoding Chip. HCS (2022)
Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models. CoRR (2022)
Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training. CoRR (2022)
Alberto Delmas Lascorz, Mostafa Mahmoud, Andreas Moshovos
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference. CoRR (2022)
Rahul Gulve, Navid Sarhangnejad, Gairik Dutta, Motasem Sakr, Don Nguyen, Roberto Rangel, Wenzheng Chen, Zhengfan Xia, Mian Wei, Nikita Gusev, Esther Y. H. Lin, Xiaonong Sun, Leo Hanxu, Nikola Katic, Ameer Abdelhadi, Andreas Moshovos, Kiriakos N. Kutulakos, Roman Genov
A 39, 000 Subexposures/s CMOS Image Sensor with Dual-tap Coded-exposure Data-memory Pixel for Adaptive Single-shot Computational Imaging. VLSI Technology and Circuits (2022)
Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. ISCA (2022)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO (2021)
Isak Edo Vivancos, Sayeh Sharify, Daniel Ly-Ma, Ameer Abdelhadi, Ciaran Bannon, Milos Nikolic, Mostafa Mahmoud, Alberto Delmas Lascorz, Gennady Pekhimenko, Andreas Moshovos
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. MLSys (2021)
Ameer M. S. Abdelhadi, Eugene Sha, Ciaran Bannon, Hendrik Steenland, Andreas Moshovos
Noema: Hardware-Efficient Template Matching for Neural Population Pattern Detection. MICRO (2021)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. CoRR (2020)
Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR (2020)
Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO (2020)
Ali Hadi Zadeh, Andreas Moshovos
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. CoRR (2020)
Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. MICRO (2020)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR (2020)
Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos
Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. DAC (2020)
Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos
Laconic deep learning inference acceleration. ISCA (2019)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert D. Mullins
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. ISPASS (2019)
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. ASPLOS (2019)
Meysam Roodi, Andreas Moshovos
SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller. CIBB (2019)
Meysam Roodi, Andreas Moshovos
MemAlign: A Memory Structure to Accelerate Gene Sequencing. BIBE (2019)
Zissis Poulos, Ali Nouri, Andreas Moshovos
Training CNNs faster with Dynamic Input and Kernel Downsampling. CoRR (2019)
Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39 (5) (2019)
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
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO (2019)
Meysam Roodi, Zahra Lak, Andreas Moshovos
BWA-MEM Performance: Suffix Array Storage Size. BHI (2019)
Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos
Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. IISWC (2019)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Value-Based Deep-Learning Acceleration. IEEE Micro 38 (1) (2018)
Sayeh Sharify, Mostafa Mahmoud, Alberto Delmas Lascorz, Milos Nikolic, Andreas Moshovos
Laconic Deep Learning Computing. CoRR (2018)
Mostafa Mahmoud, Kevin Siu, Andreas Moshovos
Diffy: a Déjà vu-Free Differential Deep Neural Network Accelerator. MICRO (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Exploiting Typical Values to Accelerate Deep Learning. Computer 51 (5) (2018)
Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, Andreas Moshovos
Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. DAC (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Milos Nikolic, Andreas Moshovos
DPRed: Making Typical Activation Values Matter In Deep Learning Computing. CoRR (2018)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. IISWC (2018)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Proteus: Exploiting precision variability in deep neural networks. Parallel Comput. 73 (2018)
Meysam Roodi, Andreas Moshovos
Gene Sequencing: Where Time Goes. IISWC (2018)
Kevin Siu, Dylan Malone Stuart, Mostafa Mahmoud, Andreas Moshovos
Memory Requirements for Convolutional Neural Network Hardware Accelerators. IISWC (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Andreas Moshovos
Value-Based Deep Learning Hardware Acceleration. NoCArc@MICRO (2018)
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. CoRR (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Andreas Moshovos
Tartan: Accelerating Fully-Connected and Convolutional Layers in Deep Learning Networks by Exploiting Numerical Precision Variability. CoRR (2017)
Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos
Bit-pragmatic deep neural network computing. MICRO (2017)
Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos
IDEAL: image denoising accelerator. MICRO (2017)
Patrick Judd, Jorge Albericio, Andreas Moshovos
Stripes: Bit-Serial Deep Neural Network Computing. IEEE Comput. Archit. Lett. 16 (1) (2017)
Sayeh Sharify, Alberto Delmas Lascorz, Patrick Judd, Andreas Moshovos
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos
Bit-Pragmatic Deep Neural Network Computing. ICLR (Workshop) (2017)
Alberto Delmas, Patrick Judd, Sayeh Sharify, Andreas Moshovos
Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks. CoRR (2017)
Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Bit-pragmatic Deep Neural Network Computing. CoRR (2016)
Andreas Moshovos
Message from the program chair. ISPASS (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos
Stripes: Bit-serial deep neural network computing. MICRO (2016)
Mostafa Mahmoud, Andreas Moshovos
Memory Controller Design Under Cloud Workloads. CoRR (2016)
Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. ISCA (2016)
Mostafa Mahmoud, Andreas Moshovos
Memory controller design under cloud workloads. IISWC (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. ICS (2016)
Misel-Myrto Papadopoulou, Xin Tong, André Seznec, Andreas Moshovos
Prediction-based superpage-friendly TLB designs. HPCA (2015)
Xin Tong, Andreas Moshovos
QTrace: a framework for customizable full system instrumentation. ISPASS (2015)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. CoRR (2015)
Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
Doppelgänger: a cache for approximate computing. MICRO (2015)
Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos
Self-contained, accurate precomputation prefetching. MICRO (2015)
Pinar Tözün, Islam Atta, Anastasia Ailamaki, Andreas Moshovos
ADDICT: Advanced Instruction Chasing for Transactions. Proc. VLDB Endow. 7 (14) (2014)
Kaveh Aasaraai, Andreas Moshovos
What limits the operating frequency of a soft processor design. ReConFig (2014)
Xin Tong, Toshihiko Koju, Motohiro Kawahito, Andreas Moshovos
Optimizing Memory Translation Emulation in Full System Emulators. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Kaveh Aasaraai, Andreas Moshovos
An Architectural Approach to Characterizing and Eliminating Sources of Inefficiency in a Soft Processor Design. FCCM (2014)
Goran Narancic, Patrick Judd, Di Wu, Islam Atta, Michel Elnacouzi, Jason Zebchuk, Jorge Albericio, Natalie D. Enright Jerger, Andreas Moshovos, Kyros Kutulakos, Serag Gadelrab
Evaluating the memory system behavior of smartphone workloads. ICSAMOS (2014)
Di Wu, Andreas Moshovos
Advanced branch predictors for soft processors. ReConFig (2014)
Xin Tong, Andreas Moshovos
BarTLB: Barren page resistant TLB for managed runtime languages. ICCD (2014)
Di Wu, Andreas Moshovos
Image Signal Processors on FPGAs. FCCM (2014)
Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos
Wormhole: Wisely Predicting Multidimensional Branches. MICRO (2014)
Michel El-Nacouzi, Islam Atta, Myrto Papadopoulou, Jason Zebchuk, Natalie D. Enright Jerger, Andreas Moshovos
A dual grain hit-miss detector for large die-stacked DRAM caches. DATE (2013)
Di Wu, Kaveh Aasaraai, Andreas Moshovos
Low-cost, high-performance branch predictors for soft processors. FPL (2013)
Islam Atta, Pinar Tözün, Xin Tong, Anastasia Ailamaki, Andreas Moshovos
STREX: boosting instruction cache reuse in OLTP workloads through stratified transaction execution. ISCA (2013)
Jason Zebchuk, Harold W. Cain, Xin Tong, Vijayalakshmi Srinivasan, Andreas Moshovos
RECAP: A region-based cure for the common cold (cache). HPCA (2013)
Jason Zebchuk, Babak Falsafi, Andreas Moshovos
Multi-grain coherence directories. MICRO (2013)
Xin Tong, Jack Luo, Andreas Moshovos
QTrace: An interface for customizable full system instrumentation. ISPASS (2013)
Vitaly Zakharenko, Tor M. Aamodt, Andreas Moshovos
Characterizing the performance benefits of fused CPU/GPU systems using FusionSim. DATE (2013)
Ioana Burcea, Livio Soares, Andreas Moshovos
Pointy: a hybrid pointer prefetcher for managed runtime systems. PACT (2012)
Kaveh Aasaraai, Andreas Moshovos
SPREX: A soft processor with Runahead execution. ReConFig (2012)
Maryam Sadooghi-Alvandi, Kaveh Aasaraai, Andreas Moshovos
Toward virtualizing branch direction prediction. DATE (2012)
Islam Atta, Pinar Tözün, Anastasia Ailamaki, Andreas Moshovos
Reducing OLTP instruction misses with thread migration. DaMoN (2012)
Jason Zebchuk, Harold W. Cain, Vijayalakshmi Srinivasan, Andreas Moshovos
ReCaP: a region-based cure for the common cold cache. PACT (2012)
Islam Atta, Pinar Tözün, Anastasia Ailamaki, Andreas Moshovos
SLICC: Self-Assembly of Instruction Cache Collectives for OLTP Workloads. MICRO (2012)
Kaveh Aasaraai, Andreas Moshovos
NCOR: An FPGA-Friendly Nonblocking Data Cache for Soft Processors with Runahead Execution. Int. J. Reconfigurable Comput. 2012 (2012)
Elham Safi, Andreas Moshovos, Andreas G. Veneris
Two-Stage, Pipelined Register Renaming. IEEE Trans. Very Large Scale Integr. Syst. 19 (10) (2011)
Kaveh Aasaraai, Andreas Moshovos
An Efficient Non-blocking Data Cache for Soft Processors. ReConFig (2010)
Henry Wong, Misel-Myrto Papadopoulou, Maryam Sadooghi-Alvandi, Andreas Moshovos
Demystifying GPU microarchitecture through microbenchmarking. ISPASS (2010)
Thomas F. Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos
Making Address-Correlated Prefetching Practical. IEEE Micro 30 (1) (2010)
Kaveh Aasaraai, Andreas Moshovos
Design space exploration of instruction schedulers for out-of-order soft processors. FPT (2010)
Elham Safi, Andreas Moshovos, Andreas G. Veneris
On the Latency and Energy of Checkpointed Superscalar Register Alias Tables. IEEE Trans. Very Large Scale Integr. Syst. 18 (3) (2010)
Elham Safi, Andreas Moshovos, Andreas G. Veneris
A physical-level study of the compacted matrix instruction scheduler for dynamically-scheduled superscalar processors. ICSAMOS (2009)
Kaveh Aasaraai, Andreas Moshovos
Towards a viable out-of-order soft core: Copy-Free, checkpointed register renaming. FPL (2009)
Ioana Burcea, Andreas Moshovos
Phantom-BTB: a virtualized branch target buffer design. ASPLOS (2009)
Thomas F. Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos
Practical off-chip meta-data for temporal memory streaming. HPCA (2009)
Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin K. Qureshi, Andreas Moshovos
A tagless coherence directory. MICRO (2009)
Patrick Akl, Andreas Moshovos
Turbo-ROB: A Low Cost Checkpoint/Restore Accelerator. HiPEAC (2008)

Andreas Moshovos.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andreas Moshovos