Results 11 to 20 of about 21,585 (298)
Optimizing floating point operations in Scheme [PDF]
Computer Languages, 1999 Summary: It is well known that dynamic typing in languages like Lisp is costly in terms of performance. Besides the cost of tag checking, the other major source of inefficiency comes from the need to place and retrieve data from dynamically allocated objects, i.e. boxing and unboxing.
openaire +2 more sources
Controlling And Sequencing A Heavily Pipelined Floating-point Operator [PDF]
[1992] Proceedings the 25th Annual International Symposium on Microarchitecture MICRO 25, 1992 Disponible dans les fichiers attachés à ce ...
Seznec, André, Courtel, Karl
openaire +2 more sources
Multi‐precision binary multiplier architecture for multi‐precision floating‐point multiplication
IET Circuits, Devices and Systems, 2021 Arithmetic logic units (ALUs) are core components of processing devices that perform required arithmetic and logical operations such as multiplication, division, addition, subtraction, and squaring. The multiplication operation is frequently used in ALUs
Geetam Singh Tomar +2 more
doaj +1 more source
IEEE Access, 2023 Automatic Modulation Classification (AMC) is a technique used in wireless communication systems to identify the modulation type of received signals at the receiver.
Kuchul Jung +2 more
doaj +1 more source
CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator
Journal of Algorithms & Computational Technology, 2011 Modern GPUs open a completely new field to optimize embarrassingly parallel algorithms. Implementing an algorithm on a GPU confronts the programmer with a new set of challenges for program optimization.
Jakob Siegel +2 more
doaj +1 more source
Arithmetic operations beyond floating point number precision [PDF]
International Journal of Computational Science and Engineering, 2011 5 figures, accepted for publication in International Journal of Computational Science and ...
Chih-Yueh Wang +3 more
openaire +2 more sources
Secure Floating-Point Training [PDF]
, 2023 Secure 2-party computation (2PC) of floating-point arithmetic is improving in performance and recent work runs deep learning algorithms with it, while being as numerically precise as commonly used machine learning (ML) frameworks like PyTorch.
Rahul Sharma +4 more
core
Algorithms for stochastically rounded elementary arithmetic operations in IEEE 754 floating-point arithmetic [PDF]
, 2020 We present algorithms for performing the four elementary arithmetic operations (+, -, ×, and ÷) in floating point arithmetic with stochastic rounding, and discuss a few examples where using stochastic rounding may be beneficial.
Fasi, Massimiliano, +3 more
core +1 more source
Digital filter optimization for C language
Advances in Electrical and Computer Engineering, 2011 A method for transforming C code with floating-point values into C code with integer variables is developed. The objective is to avoid any operations with floating-point data types, thereby increasing the execution speed of the program on a ...
BARLEANU, A., BAITOIU, V., STAN, A.
doaj +1 more source
Algorithm for output of floating-point numbers in fixed-point form
Journal of Applied Sciences and Environmental Management, 2006 Input/output of data items and information are very common operations performed on computer systems. Various data types require special ways to perform these operations on them. Floating-point numbers are no exceptions.
CB Ndeekor
doaj +1 more source