Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
Research Infrastructure? No Offer Description Lisbon Underground Multicore Fiber Ring (LUMIRing) project is a live testbed fostering the development and innovation of multicore fibers (MCFs) technology
-
between technical and professional development. The RSE will be part of the recently established UD’s First State AI Institute (please check out the operational AI Center of Excellence https
-
learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
-
hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
-
of today’s heterogeneous hardware (multicore CPUs, GPUs, SmartNICs, disaggregated datacenters). We explore: SmartNICs & P4 switches for offloading intelligence from hosts Device-to-device communication
-
hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
-
that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance
-
that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance
-
of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In
-
mathematics or equivalent competence. Your degree must be completed by the time of employment. Strong practical skills in C++ software development. Experience with parallel programming for multicore CPUs, GPUs