TSQR

tsqr-logo

Where professionals start their day. Digital townsquare for evolving industries. Cut through noise with curated content from news, media, research and social sources. TSQR is a modular, aggregation, curation and data insights platform so you can whitelabel your own digital townsquare whether its for a niche industry or new age intranet for staff. We presently curate 1000s of publications, research articles, youtube channels and twitter posts with behind the scenes expert and machine scoring and filtering. The goal is to curate the most relevant and high quality content so that professionals can have a better, faster and more focused way to stay on top of the latest developments and specific use cases of interest.

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TSQR

Industry:
Artificial Intelligence (AI) Augmented Reality Bitcoin Blockchain Cannabis ESports News Social Media Virtual Currency Virtual Reality

Founded:
2018-07-01

Address:
Los Angeles, California, United States

Country:
United States

Total Employee:
1+

Status:
Active

Email Addresses:
[email protected]

Total Funding:
200 K USD

Technology used in webpage:
SPF AJAX Libraries API Google Apps For Business GoDaddy DNS GoDaddy Browse Happy Starfield Technologies


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Founder


martin-rerak_image

Martin Rerak

More informations about "TSQR"

GitHub - enp1s0/tsqr-gpu: Implementation of TSQR, โ€ฆ

TSQR is an efficient QR factorization algorithm for tall-skinny matrices in parallel computing environment. Publications "TSQR on TensorCores", Hiroyuki Ootomo and Rio Yokota, SC'19 Research Poster (Best Poster Candidate) [ File ]See details»

TSQR - Crunchbase Company Profile & Funding

TSQR is a modular, aggregation, curation and data insights platform so you can whitelabel your own digital townsquare whether its for a niche industry or new โ€ฆSee details»

[0806.2159] Communication-optimal parallel and sequential QR โ€ฆ

Jun 12, 2008 We present parallel and sequential dense QR factorization algorithms that are both optimal (up to polylogarithmic factors) in the amount of communication they perform, and just โ€ฆSee details»

Distributed Parallel Tall-Skinny QR Factorization: Performance ...

See details»

ENHANCING PERFORMANCE OF TALL-SKINNY QR โ€ฆ

This 2012 TSQR Virtex-6 TS 62 36 % Paper SX475T 4. PROPOSED ARCHITECTURE 4.1. Parallelism 4.1.1. Coarse-Grain Parallelism in TSQR In TSQR, tiles in the local QR stage and โ€ฆSee details»

CholeskyQR2: A Simple and Communication-Avoiding Algorithm โ€ฆ

Jan 26, 2015 Designing communication-avoiding algorithms is crucial for high performance computing on a large-scale parallel system. The TSQR algorithm is a communication-avoiding โ€ฆSee details»

(PDF) TSQR on Tensor Cores - ResearchGate

Nov 29, 2022 PDF | Tall-Skinny QR (TSQR) is an efficient algorithm for calculating the QR decomposition of m × n matrices where m โ‰ซ n, which is done by recursively... | Find, read and โ€ฆSee details»

Tech Reports | EECS at UC Berkeley

Oct 26, 2013 The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than โ€ฆSee details»

TSQR on TensorCores - SC19

TSQR on TensorCores Hiroyuki Ootomo1, Rio Yokota2 1School of Computing, TokyoTech 2Global Scienti c Information and Computing Center, TokyoTech Abstract Tall-Skinny QR โ€ฆSee details»

Tall and skinny QR factorizations in MapReduce architectures

A TSQR factorization and implement that algorithm on a MapReduce system. This algorithm is a key ingredient in solving least-squares problems. Consider a full-rank, least โ€ฆSee details»

dgleich/mrtsqr: MapReduce Streaming TSQR Implementation

Where A is an m-by-n matrix, and b is an m-by-1 vector. When the number of rows of the matrix A is much larger than the number of columns, then A is called a tall-and-skinny matrix because โ€ฆSee details»

Reconstructing Householder Vectors from Tall-Skinny QR

The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. โ€ฆSee details»

Dataflow Systolic Array Implementations of Exploring Dual โ€ฆ

Tall and skinny QR (TSQR) decomposition is an essential matrix operation with various applications in edge computing, including data compression, subspace projection, and โ€ฆSee details»

HSL_MP82: Tall-skinny QR factorization - UKRI

May 3, 2023 (1) The TSQR method is unconditionally accurate produces a matrix \(Q\) that can be either formed explicitly (orthonormal) or can be stored implicitly via a set of Householder โ€ฆSee details»

GitHub - NovanHsiu/JTSQR: Hadoop MapReduce Tall-and-Skinny โ€ฆ

The TSQR function can be used to solve many problems, such as stochastic SVD (SSVD). In this implementation, we provide three functions: * TSQR: Compute Q and R matrices of a given tall โ€ฆSee details»

Communication avoiding algorithms for LU and QR factorizations

TSQR: QR factorization of a tall skinny matrix using Householder transformations W= W 0 W 1 W 2 W 3 R 00 R 10 R 20 R 30 R 01 R 11 R 02 โ€ขQR decomposition of m x b matrix W, m >> b โ€ขP โ€ฆSee details»

Reproducible Tall-Skinny QR - University of California, Berkeley

The TSQR algorithm without any prior information about the platform. Another issue with the TSQR algorithm is that it stores the Q matrix implicitly using a hierarchical tree of intermediate โ€ฆSee details»

Schedule | TSQR League | New Season | LeagueLobster

League schedule for TSQR League - New Season. Team Pages Our team pages with automatic match invites and reminders (RSVP), and team chat make managing a team easy as pie.; โ€ฆSee details»

Distributed Parallel Tall-Skinny QR Factorization: Performance ...

Under this direction, the TSQR algorithm was proposed [3] for tall-skinny QR factorization. In addition, Cholesky QR type algorithms have attracted much attention, and several progresses โ€ฆSee details»

Ray-Aided Quadruple Affiliation Network for Calculating Tumor โ€ฆ

2 days ago Tumor-stroma ratio (TSR), which is the area ratio between two components within tumor beds, namely tumor cells and tumor stroma, has been suggested as a promising โ€ฆSee details»

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