Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Joseph, Jan"'
Autor:
Cubero-Cascante, José, Vaidyanathan, Arunkumar, Pelke, Rebecca, Pfeifer, Lorenzo, Leupers, Rainer, Joseph, Jan Moritz
The surge in AI usage demands innovative power reduction strategies. Novel Compute-in-Memory (CIM) architectures, leveraging advanced memory technologies, hold the potential for significantly lowering energy consumption by integrating storage with pa
Externí odkaz:
http://arxiv.org/abs/2405.04326
Autor:
Pelke, Rebecca, Staudigl, Felix, Thomas, Niklas, Bosbach, Nils, Hossein, Mohammed, Cubero-Cascante, Jose, Poehls, Leticia Bolzani, Leupers, Rainer, Joseph, Jan Moritz
Resistive Random Access Memory (ReRAM) is a promising candidate for implementing Computing-in-Memory (CIM) architectures and neuromorphic circuits. ReRAM cells exhibit significant variability across different memristive devices and cycles, necessitat
Externí odkaz:
http://arxiv.org/abs/2403.13655
Autor:
Pelke, Rebecca, Bosbach, Nils, Cubero, Jose, Staudigl, Felix, Leupers, Rainer, Joseph, Jan Moritz
RRAM-based multi-core systems improve the energy efficiency and performance of CNNs. Thereby, the distributed parallel execution of convolutional layers causes critical data dependencies that limit the potential speedup. This paper presents synchroni
Externí odkaz:
http://arxiv.org/abs/2309.03805
Detailed timing models are indispensable tools for the design space exploration of Multiprocessor Systems on Chip (MPSoCs). As core counts continue to increase, the complexity in memory hierarchies and interconnect topologies is also growing, making
Externí odkaz:
http://arxiv.org/abs/2308.09445
Autor:
Staudigl, Felix, Hossein, Mohammed, Ziegler, Tobias, Indari, Hazem Al, Pelke, Rebecca, Siegel, Sebastian, Wouters, Dirk J., Sisejkovic, Dominik, Joseph, Jan Moritz, Leupers, Rainer
Emerging non-volatile memories (NVMs) represent a disruptive technology that allows a paradigm shift from the conventional von Neumann architecture towards more efficient computing-in-memory (CIM) architectures. Several instrumentation platforms have
Externí odkaz:
http://arxiv.org/abs/2308.02400
Autor:
Staudigl, Felix, Fetz, Thorben, Pelke, Rebecca, Sisejkovic, Dominik, Joseph, Jan Moritz, Pöhls, Leticia Bolzani, Leupers, Rainer
Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency. Utilizing only binary values, LIM particularly excels in accelerating binary neural networks,
Externí odkaz:
http://arxiv.org/abs/2302.07655
The increasing complexity of systems-on-a-chip requires the continuous development of electronic design automation tools. Nowadays, the simulation of systems-on-a-chip using virtual platforms is common. Virtual platforms enable hardware/software co-d
Externí odkaz:
http://arxiv.org/abs/2207.11036
Autor:
Tan, Yee Yang, Staudigl, Felix, Jünger, Lukas, Drewes, Anna, Leupers, Rainer, Joseph, Jan Moritz
Networks-on-Chips (NoCs) recently became widely used, from multi-core CPUs to edge-AI accelerators. Emulation on FPGAs promises to accelerate their RTL modeling compared to slow simulations. However, realistic test stimuli are challenging to generate
Externí odkaz:
http://arxiv.org/abs/2206.11613
Autor:
Staudigl, Felix, Sturm, Karl J. X., Bartel, Maximilian, Fetz, Thorben, Sisejkovic, Dominik, Joseph, Jan Moritz, Pöhls, Leticia Bolzani, Leupers, Rainer
Memristor-based crossbar arrays represent a promising emerging memory technology to replace conventional memories by offering a high density and enabling computing-in-memory (CIM) paradigms. While analog computing provides the best performance, non-i
Externí odkaz:
http://arxiv.org/abs/2204.01501
Autor:
Staudigl, Felix, Indari, Hazem Al, Schön, Daniel, Sisejkovic, Dominik, Merchant, Farhad, Joseph, Jan Moritz, Rana, Vikas, Menzel, Stephan, Leupers, Rainer
Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM technologies are considered an ideal substrate for computation and storage in
Externí odkaz:
http://arxiv.org/abs/2112.01087