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09/16/2023
Reducing Memory Requirements for the IPU using Butterfly Factorizations
High Performance Computing (HPC) benefits from different improvements du...
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12/20/2022
Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks
Machine learning methods like neural networks are extremely successful a...
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12/15/2022
Towards Hardware-Specific Automatic Compression of Neural Networks
Compressing neural network architectures is important to allow the deplo...
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05/31/2022
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness
The process of optimizing the latency of DNN operators with ML models an...
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10/20/2021
Scheduling of Graph Queries: Controlling Intra- and Inter-query Parallelism for a High System Throughput
The vast amounts of data used in social, business or traffic networks, b...
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04/10/2021
Joint Program and Layout Transformations to enable Convolutional Operators on Specialized Hardware based on Constraint Programming
The success of Deep Artificial Neural Networks (DNNs) in many domains cr...
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02/01/2021
Understanding Cache Boundness of ML Operators on ARM Processors
Machine Learning compilers like TVM allow a fast and flexible deployment...
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10/22/2020
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
We present two methods to reduce the complexity of Bayesian network (BN)...
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07/22/2020
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement
While machine learning techniques are traditionally resource intensive, ...
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07/15/2020
Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges
Non-relational database systems (NRDS), such as graph, document, key-val...
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06/24/2020
On the Difficulty of Designing Processor Arrays for Deep Neural Networks
Systolic arrays are a promising computing concept which is in particular...
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01/20/2020
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
Characterizing compute kernel execution behavior on GPUs for efficient t...
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01/07/2020
