Cyclops tensor framework

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August undefined, 2024

Webusing the Cyclops Tensor Framework [14], allowing for a massively parallel code that has been observed to reach up to 3 TFlops/s on state of the art problems. We focus on ﬁnite 2D lattice models, which traditionally have an easily constructed Hamiltonian but require signiﬁcant computational time to converge. WebCyclops Tensor Framework (CTF) approach to contractions A high-level description of CTF’s algorithm for tensor contractions: packed tensors are decomposed cyclically …

Cyclops Tensor Framework: reducing communication …

WebAug 2, 2014 · We present a distributed-memory numerical library (Cyclops Tensor Framework (CTF)) that automatically manages tensor blocking and redistribution to perform any user-specified contractions. CTF serves as the distributed memory contraction engine in Aquarius, a new program designed for high-accuracy and massively-parallel … WebCyclops Tensor Framework (CTF) approach to contractions A high-level description of CTF’s algorithm for tensor contractions: packed tensors are decomposed cyclically among toroidal processor grids MPI collectives are used for all communication for each contraction, a distributed layout is selected based on tssr technical site survey report

A preliminary analysis of Cyclops Tensor Framework

WebCyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … Webfor the Cyclops Tensor Framework design. NWChem uses the Tensor Contraction Engine (TCE) [20, 6, 16], to automatically generate sequences of tensor contractions based on a diagrammatic representation of CC schemes. TCE attempts to form the most efﬁcient sequence of contractions while minimizing memory usage of intermediates (computed … WebCyclops (cyclic-operations) Tensor Framework(CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … phlebectomized

GitHub - cyclops-community/ctf: Cyclops Tensor Framework: …

Cyclops Tensor Framework: Reducing Communication and …

WebCyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those required in the Coupled Cluster (CC) electronic structure method to massively-parallel supercomputers. The framework preserves tensor structure by subdividing tensors ... WebCyclops (cyclic-operations) Tensor Framework (CTF) provides primitives for distributed memory tensor contractions takes advantage of thread (two-level) parallelism phlebectomy codeWebMar 9, 2012 · Cyclops (cyclic-operations) Tensor Framework (CTF)is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions done in Coupled Cluster calculations on massively-parallel supercomputers. The framework preserves tensor symmetry by subdividing tensors cyclically, producing a highly regular … tss rti

"WebCyclops (cyclic-operations) Tensor Framework (CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … " - Cyclops tensor framework

Cyclops tensor framework

EXPLOITING SYMMETRY IN TENSORS FOR HIGH …

Webtensors. The Tensor Contraction Engine (TCE) project [6] focuses on sequences of tensor contractions and uses compiler techniques to reduce workspace and operation counts. The very recent Cyclops Tensor Framework (CTF) [23] focuses on exploit-ing symmetry in storage for distributed memory parallel computation with tensors, Webusing the Cyclops Tensor Framework [14], allowing for a massively parallel code that has been observed to reach up to 3 TFlops/s on state of the art problems. We focus on ﬁnite 2D lattice models, which traditionally have an easily constructed Hamiltonian but require signiﬁcant computational time to converge.

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WebAug 4, 2024 · The use of tensor contractions enables us to employ the Cyclops library for distributed-memory tensor computations to parallelize the Gauss--Newton approach with a high-level Python implementation. In addition, we propose a regularization scheme for the Gauss--Newton method to improve convergence properties without any additional cost. WebCyclops Tensor Framework (CTF): rst distributed-memory tensor contraction framework codes using CTF for wavefunction methods: Aquarius, QChem, VASP, Psi4 coupled cluster faster than NWChem by >10X, nearly 1 peta op/s …

WebEdgar Solomonik Cyclops Tensor Framework 2/ 73 Introduction Communication-avoiding linear algebra Communication-avoiding tensor computations Conclusion Algorithmic roots: communication avoidance Targeting leadership class platforms (e.g. BG/Q) ILarge amount of distributed memory parallelism IHierarchical parallelism

WebAbstract: Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as … WebDec 1, 2014 · This paper focuses on the fundamental kernels of coupled-cluster calculations–tensor contractions–and documents a completely new set of parallel algorithms implemented as a distributed-memory tensor contraction framework, Cyclops Tensor Framework (CTF). 1 CTF has enabled coupled-cluster with excitations of up to …

WebCyclops Tensor Framework (CTF), a distributed tensor con-traction library suitable for symmetric high-dimensional ten-sors. On 1,536 nodes of a Cray XE6 supercomputer, …

Webfrom publication: A preliminary analysis of Cyclops Tensor Framework Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high ... tssr rcWebSparse_Tensor a sparse subset of a tensor More... class Tensor an instance of a tensor within a CTF world More... class TensorOperation A tensor operation, containing all the data (op, lhs, rhs) required to run it. Also provides methods to get a list of inputs and outputs, as well as successor and dependency information used in scheduling. More... phlebectomy and sclerotherapyWebCyclops Tensor Framework: CTF::Tensor< dtype > Class Template Reference Public Member Functions CTF::Tensor< dtype > Class Template Reference CTF Tensor an … phlebectomy cptWeb10/24 Edgar Solomonik Cyclops Tensor Framework 10/ 24. Mapping a distributed array How does CTF do it? Physical network topology Assume the network is a torus (mesh), which is a tensor of processors e.g. BG/P network is 3D … tss rutrackerWebNov 13, 2016 · This paper presents the optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms. This primitive is a ... Our sequential SpTTM is up to 3.5× faster than the SpTTM from Tensor Toolbox and 1.5× over that from Cyclops Tensor Framework. Our parallel algorithms show 4.1× … phlebectomy global periodWebApr 14, 2024 · Across a wide range of different tensor transpositions and architectures (e.g., Intel Ivy Bridge, Intel Knights Landing, ARMv7, IBM Power7), HPTT attains a bandwidth comparable to that of SAXPY, and yields remarkable speedups over Eigen's tensor transposition implementation. phlebectomy hook disposableWebCyclops (cyclic-operations) Tensor Framework (CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … tss rss+ssr