Olatunji Ruwase

发表

LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory pdf

Reza Yazdani, Olatunji Ruwase, Minjia Zhang, 2019, ArXiv.

Toward Accelerating Deep Learning at Scale Using Specialized Logic

Joo-Young Kim, Karin Strauss, Olatunji Ruwase, 2015 .

HyperDrive: exploring hyperparameters with POP scheduling

Olatunji Ruwase, Yuxiong He, Rodrigo Fonseca, 2017, Middleware.

Improving Device Driver Reliability through Decoupled Dynamic Binary Analyses

Olatunji Ruwase, Olatunji Ruwase, 2013 .

Page overlays: An enhanced virtual memory framework to enable fine-grained memory management

Onur Mutlu, Olatunji Ruwase, Todd C. Mowry, 2015, 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA).

A Practical Dynamic Buffer Overflow Detector

Olatunji Ruwase, Monica S. Lam, Olatunji Ruwase, 2004, NDSS.

DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters

Olatunji Ruwase, Yuxiong He, Jeff Rasley, 2020, KDD.

Accelerating Deep Convolutional Neural Networks Using Specialized Hardware

Karin Strauss, Olatunji Ruwase, Eric S. Chung, 2015 .

Flexible Hardware Acceleration for Instruction-Grain Program Monitoring

Babak Falsafi, Olatunji Ruwase, Todd C. Mowry, 2008, 2008 International Symposium on Computer Architecture.

Parallelizing dynamic information flow tracking

Olatunji Ruwase, Todd C. Mowry, Vijaya Ramachandran, 2008, SPAA '08.

ZeRO: Memory Optimization Towards Training A Trillion Parameter Models pdf

Olatunji Ruwase, Yuxiong He, Samyam Rajbhandari, 2019, SC.

Flexible Hardware Acceleration for Instruction-Grain Lifeguards

Babak Falsafi, Olatunji Ruwase, Todd C. Mowry, 2009, IEEE Micro.

Toward accelerating deep learning at scale using specialized hardware in the datacenter

Karin Strauss, Olatunji Ruwase, Eric S. Chung, 2015, 2015 IEEE Hot Chips 27 Symposium (HCS).

Decoupled lifeguards: enabling path optimizations for dynamic correctness checking tools

Olatunji Ruwase, Todd C. Mowry, Shimin Chen, 2010, PLDI '10.

Optimizing CNNs on Multicores for Scalability, Performance and Goodput

Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi, 2017, ASPLOS.

Efficient Deep Neural Network Serving: Fast and Furious

Olatunji Ruwase, Yuxiong He, Evgenia Smirni, 2018, IEEE Transactions on Network and Service Management.

Ditto: a system for opportunistic caching in multi-hop wireless networks

Amar Phanishayee, Olatunji Ruwase, Himabindu Pucha, 2008, MobiCom '08.

ZeRO-Offload: Democratizing Billion-Scale Model Training pdf

Olatunji Ruwase, Minjia Zhang, Yuxiong He, 2021, USENIX ATC.

SERF: Efficient Scheduling for Fast Deep Neural Network Serving via Judicious Parallelism

Olatunji Ruwase, Yuxiong He, Evgenia Smirni, 2016, SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft

Olatunji Ruwase, Minjia Zhang, Yuxiong He, 2019, OpML.

Guardrail: a high fidelity approach to protecting hardware devices from buggy drivers

Olatunji Ruwase, Todd C. Mowry, Phillip B. Gibbons, 2014, ASPLOS.

Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems

Olatunji Ruwase, Yuxiong He, Feng Yan, 2015, KDD.

ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep learning

Olatunji Ruwase, Samyam Rajbhandari, Jeff Rasley, 2021, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

ZeRO: Memory optimizations Toward Training Trillion Parameter Models

Olatunji Ruwase, Samyam Rajbhandari, Jeff Rasley, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.