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Get to know the perspEktIve M program!

Do you want to gain a doctorate? And you want learn more about everyday work at the university? The perspEktIve M mentoring program gives you the chance to do so! Watch the video to find out what the program has to offer. Don’t forget to apply after!

Thomas

Thissen
- 01:27 duration
- 18 views
- 0 comments
- 0 likes
Lerne das Programm perspEktIve M kennen!

Du willst promovieren und mehr über den Arbeitsalltag an der Universität wissen? Im Mentoring-Programm perspEktIve M hast du die Chance dazu! Im Video erfährst du, was dir das Programm bietet. Vergiss nicht, dich danach zu bewerben!

Thomas

Thissen
- 01:27 duration
- 19 views
- 0 comments
- 0 likes
Software-like Compilation for Data Center FPGA Accelerators

Compilation times for large Xilinx devices, such as the Amazon F1 instance, are on the order of several hours. However, today’s data center designs often have many identical processing units (PUs), meaning that conventional design flows waste time placing and routing the same problem many times. Furthermore, the connectivity infrastructure of a design tends to be finalized before the PUs,...

Nils

Winnwa
- 31:50 duration
- 22 views
- 0 comments
- 0 likes
Accelerating Matrix Processing for MIMO Systems

Massive Multiple In and Multiple Out (MIMO) is being used in the fifth generation of wireless communication systems. As the number of antennas increases, the computational complexity grows dramatically, and this involves matrix calculations with complex numbers. We have designed and implemented a general matrix arithmetic processor to accelerate these calculations, including matrix...

Nils

Winnwa
- 29:27 duration
- 16 views
- 0 comments
- 0 likes
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers

For many, Graphics Processing Units (GPUs) provides a source of reliable computing power. Recently, Nvidia introduced its 9th generation HPC-grade GPUs, the Ampere 100, claiming significant performance improvements over previous generations, particularly for AI-workloads, as well as introducing new architectural features such as asynchronous data movement. But how well does the A100 perform on...

Nils

Winnwa
- 27:07 duration
- 13 views
- 0 comments
- 0 likes
Energy-Efficient EdgeAI: A Cross-Layer Perspective

Gigantic rates of data production in the era of Big Data, Internet of Thing (IoT), and Smart Cyber Physical Systems (CPS) pose incessantly escalating demands for massive data processing, storage, and transmission while continuously interacting with the physical world under unpredictable, harsh, and energy-/power-constrained scenarios. Therefore, such systems need to support not only the...

Nils

Winnwa
- 36:11 duration
- 17 views
- 0 comments
- 0 likes
StreamBrain: Am HPC framework for Brain-like neural networks on CPUs, GPUs, and FPGAs

The modern deep learning method based on backpropagation has surged in popularity and has been used in multiple domains and application areas. At the same time, there are other -- less-known -- machine learning algorithms with a mature and solid theoretical foundation whose performance remains unexplored. One such example is the brain-like Bayesian Confidence Propagation Neural Network...

Michaela

Kemper
- 31:00 duration
- 12 views
- 0 comments
- 0 likes
Kyokko: a vendor independent high speed serial communication controller

With the advancement of HLS technology, FPGA is finally drawing attention as a power-efficient accelerator device. Unlike GPUs, the computation pipeline and FPGA-to-FPGA interconnection can be tightly coupled on FPGAs because they have high-speed serial transceivers on the device itself. The direct connection between computation and network encourages building FPGA clusters with direct...

Nils

Winnwa
- 24:15 duration
- 18 views
- 0 comments
- 0 likes

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Alle Medien

Get to know the perspEktIve M program!

Lerne das Programm perspEktIve M kennen!

Software-like Compilation for Data Center FPGA Accelerators

Accelerating Matrix Processing for MIMO Systems

Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers

Energy-Efficient EdgeAI: A Cross-Layer Perspective

StreamBrain: Am HPC framework for Brain-like neural networks on CPUs, GPUs, and FPGAs

Kyokko: a vendor independent high speed serial communication controller

Channels

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Kategorien

Tags

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Forschung

Alle Medien

Get to know the perspEktIve M program!

Lerne das Programm perspEktIve M kennen!

Software-like Compilation for Data Center FPGA Accelerators

Accelerating Matrix Processing for MIMO Systems

Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers

Energy-Efficient EdgeAI: A Cross-Layer Perspective

StreamBrain: Am HPC framework for Brain-like neural networks on CPUs, GPUs, and FPGAs

Kyokko: a vendor independent high speed serial communication controller