Sökning: "moores lag"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden moores lag.
1. Applicability of neuromorphic hardware in disease spread simulations : A comparison of a SpiNNaker board and a GPU
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research paper investigates whether neuromorphic hardware can outperform the traditional GPU in simulating disease spread. As the era of Moore’s Law draws to a close, researchers are seeking alternative solutions to enhance computational power. LÄS MER
2. A Performance Comparison of Path Tracing on FPGA and GPU
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Ray Tracing algorithms have long been the popular choice for rendering realistic images, and in recent years they have also reached the field of real time computer graphics. Although their performance has seen great improvement, they are still very computationally costly to perform, both in terms of time and power. LÄS MER
3. Benchmarking linear-algebra algorithms on CPU- and FPGA-based platforms
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Moore’s law is the main driving factor behind the rapid evolution of computers that has been observed in the past 50 years. Though the law is soon ending due to heat- and sizing-related issues. One solution to continuing the evolution is utilizing alternative computer hardware, where parallel hardware is especially interesting. LÄS MER
4. How does the performance of NEAT compare to Reinforcement Learning?
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This study examined the relative performance of Deep Reinforcement Learning compared to a neuroevolution algorithm called NEAT when used to train AIs in a discrete game environment. Today there are many AI techniques to choose from among which NEAT and RL have become popular alternatives. LÄS MER
5. Using GPU-aware message passing to accelerate high-fidelity fluid simulations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Motivated by the end of Moore’s law, graphics processing units (GPUs) are replacing general-purpose processors as the main source of computational power in emerging supercomputing architectures. A challenge in systems with GPU accelerators is the cost of transferring data between the host memory and the GPU device memory. LÄS MER
