Wireless baseband architecture

hgpu.org » Wireless baseband architecture

Architecting an LTE Base Station with Graphics Processing Units

Q. Zheng, Y. Chen, R. Dreslinski, C. Chakrabarti, A. Anastasopoulos, S. Mahlke, T. Mudge

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Wireless baseband architecture

December 21, 2013 by hgpu

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Michael Wu, Guohui Wang, Bei Yin, Christoph Studer, Joseph R. Cavallaro

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Wireless baseband architecture

December 4, 2013 by hgpu

Highly parallel decoding of space-time codes on graphics processing units

Kalyana C. Bollapalli, Yiyue Wu, Kanupriya Gulati, Sunil Khatri, A. Robert Calderbank

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Tesla C1060, Wireless baseband architecture

July 17, 2011 by hgpu

GPU-Accelerated Evaluation Platform for High Fidelity Network Modeling

Zhiguo Xu, Rajive Bagrodia

View

Download (PDF)

Tags: Computer science, GLSL, Networks, nVidia, nVidia GeForce 7900 GTX, OpenGL, Wireless baseband architecture

May 6, 2011 by hgpu

GPU detectors for interference cancellation in chaos-based CDMA communications

F. Arguello, D.B. Heras, M. Boo

Tags: Computational Engineering, Wireless baseband architecture

April 18, 2011 by hgpu

GPU Coprocessing for Wireless Network Simulation

Scott Bai, David M. Nicol

View

Download (PDF)

Tags: Computer science, CUDA, KD-tree, Networks, nVidia, nVidia GeForce 9800 GX2, Raytracing, Wireless baseband architecture

February 23, 2011 by hgpu

Implementation of a High Throughput Soft MIMO Detector on GPU

Michael Wu, Yang Sun, Siddharth Gupta, Joseph Cavallaro

View

Download (PDF)

Tags: Computer science, CUDA, MIMO, nVidia, Soft output detection, Tesla C1060, Wireless baseband architecture

November 7, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Architecting an LTE Base Station with Graphics Processing Units

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Highly parallel decoding of space-time codes on graphics processing units

GPU-Accelerated Evaluation Platform for High Fidelity Network Modeling

GPU detectors for interference cancellation in chaos-based CDMA communications

GPU Coprocessing for Wireless Network Simulation

Implementation of a High Throughput Soft MIMO Detector on GPU

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)