Lecture

Common Multiplicand Speedup

Related lectures (51)
Numbers and Booleans
Introduces numbers and booleans in Python, covering numeric types, arithmetic operations, logical operations, and comparisons.
Computer Arithmetic: Floating Point Numbers
Explores computer arithmetic, emphasizing fixed-point and floating-point numbers, IEEE 754 standard, dynamic range, and floating-point operations in MIPS architecture.
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Computer Arithmetic: Floating Point Operations
Covers the basics of computer arithmetic, focusing on floating point numbers and their operations.
Computer Arithmetic (Integers)
Covers binary representation, two's complement, overflow detection, and operations in MIPS for computer arithmetic with integers.
MIPS ISA: Instruction Classes and Addressing Modes
Explores MIPS ISA instruction classes, memory organization, and addressing modes, including examples and endianness.
Quantum Information
Explores the CHSH operator, self-testing, eigenstates, and quantifying randomness in quantum systems.
Quantum Random Number Generation
Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Numerical Analysis: Algorithms and Concepts
Covers algorithms for mathematical problems, focusing on stability, precision, and critical result analysis.
Information Representation: Binary Representations
Explores binary information representation, efficiency, byte usage, and integer representation.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.