ZKP MOOC Lecture 16: Hardware Acceleration of ZKP

  Рет қаралды 3,471

Berkeley RDI Center on Decentralization & AI

Berkeley RDI Center on Decentralization & AI

Күн бұрын

Пікірлер: 2
@expomurli9543
@expomurli9543 Жыл бұрын
CAn you help me to understand how NtT are being used in proof generation part?
@paceval.asystemindependent3972
@paceval.asystemindependent3972 Жыл бұрын
The FPGA vs. GPU comparison at minute 19 is wrong. For example, Xilinx ZYNQ 7000 has a higher frequency and costs less than the GPU. And that at less than 8 watts for the complete board, since the GPU consumes 250-350 watts. Please correct the table to match reality.
Diffusion Models | Paper Explanation | Math Explained
33:27
Outlier
Рет қаралды 265 М.
It works #beatbox #tiktok
00:34
BeatboxJCOP
Рет қаралды 8 МЛН
Подсадим людей на ставки | ЖБ | 3 серия | Сериал 2024
20:00
ПАЦАНСКИЕ ИСТОРИИ
Рет қаралды 502 М.
Wall Rebound Challenge 🙈😱
00:34
Celine Dept
Рет қаралды 15 МЛН
ZKP MOOC Lecture 2: Overview of Modern SNARK Constructions
1:21:04
Berkeley RDI Center on Decentralization & AI
Рет қаралды 18 М.
Hardware Acceleration for Lurk and Nova - Kelly Olson
30:43
ZKP MOOC Lecture 10: Recursive SNARKs
1:21:27
Berkeley RDI Center on Decentralization & AI
Рет қаралды 6 М.
ZKP MOOC Lecture 1: Introduction and History of ZKP
1:38:33
Berkeley RDI Center on Decentralization & AI
Рет қаралды 49 М.
Why Are Threads Needed On Single Core Processors
16:07
Core Dumped
Рет қаралды 162 М.
Transformers (how LLMs work) explained visually | DL5
27:14
3Blue1Brown
Рет қаралды 4 МЛН
Constant Modulus Waveform Design for Integrated Sensing and Communications - Tian Han
15:06
London Digital Twin Research Centre
Рет қаралды 22
It works #beatbox #tiktok
00:34
BeatboxJCOP
Рет қаралды 8 МЛН