yusuke1997/dblp-id-title huggingface dataset:
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
Ranking Algorithms by Performance
Learning and Intelligent Optimization, Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers
An Imitation-Based Learning Approach Using DAgger for the Casual Employee Call Timing Problem
A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning
Graph Diffusion & PCA Framework for Semi-supervised Learning
An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization
Algorithm Selection for the Graph Coloring Problem
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems
Constraint-Based Local Search for the Costas Array Problem
Transforming Mathematical Models Using Declarative Reformulation Rules
A Practical Case of the Multiobjective Knapsack Problem: Design, Modelling, Tests and Analysis
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Fine-Tuning Algorithm Parameters Using the Design of Experiments Approach
PTAS for the Euclidean Capacitated Vehicle Routing Problem with Time Windows
Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan
Efficient Vertex Linear Orderings to Find Minimal Feedback Arc Sets (minFAS)
Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling
A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem
Improving the Exploration Strategy in Bandit Algorithms
High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games
Realtime Gray-Box Algorithm Configuration
Deep Learning for the Classification of Ports in Maritime Transport Statistics via AIS Data
Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem
A Math-Heuristic Dantzig-Wolfe Algorithm for the Capacitated Lot Sizing Problem
Generative Topographic Mapping for Dimension Reduction in Engineering Design
A Bayesian Approach for Prompt Optimization in LLMs
Approximate Dynamic Programming for Inland Empty Container Inventory Management
Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems
Multi-channel Conflict-Free Square Grid Aggregation
Multiobjective Evolution of Mixed Nash Equilibria
Demand Selection for VRP with Emission Quota
Optimal Matched Block Design For Multi-arm Experiments
Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization
Multi-output Regression for Travel Demand Estimation in an Urban Road Network
A Nonconvex Optimization Approach to Quadratic Bilevel Problems
On Multidimensional Scaling with City-Block Distances
GPU-Based Multi-start Local Search Algorithms
Strategies for Spectrum Allocation in OFDMA Cellular Networks
A General Approach to Network Analysis of Statistical Data Sets
Gaussian Process Assisted Particle Swarm Optimization
Learning the Bias Weights for Generalized Nested Rollout Policy Adaptation
Improving Parallel Local Search for SAT
A Non-adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints
Hybridising Self-Organising Maps with Genetic Algorithms
Parameter Setting with Dynamic Island Models
Learning to Prune Electric Vehicle Routing Problems
Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper
Algorithm Selection as a Bandit Problem with Unbounded Losses
Matheuristic Fixed Set Search Applied to Electric Bus Fleet Scheduling
Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators
Hybrid Population-Based Incremental Learning Using Real Codes
Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines
Learning and Intelligent Optimization - 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers
Corridor Selection and Fine Tuning for the Corridor Method
Uncertainty of Efficient Frontier in Portfolio Optimization
Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters
Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach
Surrogate Membership for Inferred Metrics in Fairness Evaluation
Effective Kinodynamic Planning and Exploration Through Quality Diversity and Trajectory Optimization
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs
MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets
Do LLMs Understand Constraint Programming? Zero-Shot Constraint Programming Model Generation Using LLMs
Generalising Algorithm Performance in Instance Space: A Timetabling Case Study
From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-Shop Problem with Weighted Tardiness
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm
PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection
Iterative-Deepening Search with On-Line Tree Size Prediction
Empirical Analysis of Upper Bounds for Robustness Distributions Using Adversarial Attacks
An Approximation Algorithm for Preemptive Speed Scaling Scheduling of Parallel Jobs with Migration
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling
Learning While Optimizing an Unknown Fitness Surface
Exact and Heuristic Approaches for the Longest Common Palindromic Subsequence Problem
A New Hybrid Firefly - Genetic Algorithm for the Optimal Product Line Design Problem
Batched Mode Hyper-heuristics
Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine
A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum
Repositioning Fleet Vehicles: A Learning Pipeline
OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms
Binary Black Widow Optimization Algorithm for Feature Selection Problems
Dynamic Service Selection with Optimal Stopping and 'Trivial Choice'
Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler
A D.C. Programming Approach to Fractional Problems
Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement Learning
GRASP with Path-Relinking for the Maximum Contact Map Overlap Problem
A Hybrid Immunological Search for the Weighted Feedback Vertex Set Problem
A Novel Approach for Solving Large-Scale Bike Sharing Station Planning Problems
Combinatorial Methods for Testing Communication Protocols in Smart Cities
Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications
Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model
Analysing the Performance of Different Population Structures for an Agent-Based Evolutionary Algorithm
Variable Cost and Size Cluster Vector Bin Packing - A Model and Heuristics for Cloud Capacity Planning
Automatically Configuring Algorithms for Scaling Performance
An Evolutionary Algorithm for the Leader-Follower Facility Location Problem with Proportional Customer Behavior
Improving the Exploration in Upper Confidence Trees
A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization
Unleashing the Potential of Restart by Detecting the Search Stagnation
Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers
Hierarchical Hidden Conditional Random Fields for Information Extraction
Reducing Space Search in Combinatorial Optimization Using Machine Learning Tools
Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming
Global Optimization Challenges in Structured Low Rank Approximation
A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search
Constant Factor Approximation for Intersecting Line Segments with Disks
Strategies for Surviving Aggressive Multiparty Repeated Standoffs (Extended Abstract)
HotelSimu: Simulation-Based Optimization for Hotel Dynamic Pricing
Detecting Patterns in Benchmark Instances of the Swap-Body Vehicle Routing Problem
MO-Mine_clust: A Framework for Multi-objective Clustering
EDACC - An Advanced Platform for the Experiment Design, Administration and Analysis of Empirical Algorithms
Exploring Non-neutral Landscapes with Neutrality-Based Local Search
Evolution of Fitness Functions to Improve Heuristic Performance
Hybrid Meta-heuristics for the Traveling Car Renter Salesman Problem
Time-Varying Multi-objective Optimization: Tradeoff Regret Bounds
Greedy Local Improvement of SPEA2 Algorithm to Solve the Multiobjective Capacitated Transshipment Problem
An Empirical Study of Per-instance Algorithm Scheduling
Exact Algorithm for One Cardinality-Weighted 2-Partitioning Problem of a Sequence
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection
Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types
GPU for Monte Carlo Search
Effect of SMS-EMOA Parameterizations on Hypervolume Decreases
Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems
Multi-target Tree Regression Approach for Surrogate-Based Optimisation
Continuous Upper Confidence Trees
From Sequential Algorithm Selection to Parallel Portfolio Selection
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
Robust Benchmark Set Selection for Boolean Constraint Solvers
A Biased Random-Key Genetic Algorithm for the Multiple Knapsack Assignment Problem
Portfolio with Block Branching for Parallel SAT Solvers
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions
On a Cooperative VNS Parallelization Strategy for the Capacitated Vehicle Routing Problem
Pareto Autonomous Local Search
Statistical Estimation in Global Random Search Algorithms in Case of Large Dimensions
Applying Instance Space Analysis to Optimize the Construction of Matheuristics
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
A New Hyperheuristic Algorithm for Cross-Domain Search Problems
Scalarized Lower Upper Confidence Bound Algorithm
Two Look-Ahead Strategies for Local-Search Metaheuristics
Convex Hulls in Solving Multiclass Pattern Recognition Problem
Learning Heuristic Policies - A Reinforcement Learning Problem
Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective
Identifying Best Hyperparameters for Deep Architectures Using Random Forests
Expected Improvements for the Asynchronous Parallel Global Optimization of Expensive Functions: Potentials and Challenges
WANCE: Learnt Clause Evaluation Method for SAT Solver Using Graph Structure
AUGMECON2 Method for a Bi-objective U-Shaped Assembly Line Balancing Problem
Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem
Adaptive "Anytime" Two-Phase Local Search
Hyper-box Classification Model Using Mathematical Programming
A Cooperative Learning Approach for the Quadratic Knapsack Problem
Gravitational Interactions Optimization
A SAT Approach for Finding Sup-Transition-Minors
A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization
Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems
Explaining Heuristic Performance Differences for Vehicle Routing Problems with Time windows
Optimized Ensembles for Clustering Noisy Data
Calibration of a Water Distribution Network with Limited Field Measures: The Case Study of Castellammare di Stabia (Naples, Italy)
Clustering of Local Optima in Combinatorial Fitness Landscapes
Travel Demand Estimation in a Multi-subnet Urban Road Network
On the Coordination of Multidisciplinary Design Optimization Using Expert Systems
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach
CAVE: Configuration Assessment, Visualization and Evaluation
Sustainable Development Index Using MILP to Assign Relative Weight To Different UNSDG Parameters
Explaining the Behavior of Reinforcement Learning Agents Using Association Rules
A Hybridization of GRASP and UTASTAR for Solving the Vehicle Routing Problem with Pickups and Deliveries and 3D Loading Constraints
A R2 Based Multi-objective Reinforcement Learning Algorithm
A Hybrid Quantum-Inspired and Deep Learning Approach for the Capacitated Vehicle Routing Problem with Time Windows
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early
MetaHybrid: Combining Metamodels and Gradient-Based Techniques in a Hybrid Multi-Objective Genetic Algorithm
A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior
Initial Sorting of Vertices in the Maximum Clique Problem Reviewed
Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection
A Tree Search Approach to Sparse Coding
Parallelizing High Dimensional Surrogate-Based Discrete Multi-objective Optimization with Constraints
Mixed-Integer Linear Optimization via Learning-Based Two-Layer Large Neighborhood Search
Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands
An Approach for Generating Test Problems of Constrained Global Optimization
Cooperative Strategies and Reactive Search: A Hybrid Model Proposal
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers
A Comparative Study on Self-Adaptive Differential Evolution Algorithms for Test Functions and a Real-World Problem
SchedulExpert: Graph Attention Meets Mixture-of-Experts for JSSP
Probability Estimation by an Adapted Genetic Algorithm in Web Insurance
Convex Quadratic Programming-Based Predictors: An Algorithmic Framework and a Study of Possibilities and Computational Challenges
Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languages
Hybridization and Discretization Techniques to Speed Up Genetic Algorithm and Solve GENOPT Problems
Global Optimization for Algebraic Geometry - Computing Runge-Kutta Methods
Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection
A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels
Learning and Intelligent Optimization - 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes
A Fast Local Search Approach for Multiobjective Problems
The Theory of Set Tolerances
Efficient Identification of the Pareto Optimal Set
Quantifying the Similarity of Algorithm Configurations
On Effectively Finding Maximal Quasi-cliques in Graphs
An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games
Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures
Multivariate Statistical Tests for Comparing Classification Algorithms
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
Optimization for Urban Air Mobility
Dynamic Urban Solid Waste Management System for Smart Cities
Generative Models via Optimal Transport and Gaussian Processes
CUDA-on-CL: a compiler and runtime for running NVIDIA® CUDA™ C++11 applications on OpenCL™ 1.2 Devices
hiCL: an OpenCL abstraction layer for scientific computing, application to depth imaging on GPU and APU
Enabling FPGAs as a True Device in the OpenCL Standard: Bridging the Gap for FPGAs
Accelerating Regular-Expression Matching on FPGAs with High-Level Synthesis
On measuring the maturity of SYCL implementations by tracking historical performance improvements
How much SYCL does a compiler need? Experiences from the implementation of SYCL as a library for nvc++
Enabling RAJA on Intel GPUs with SYCL
Using interoperability mode in SYCL 2020
SYCLomatic compatibility library: making migration to SYCL easier
VisionCPP: A SYCL-based Computer Vision Framework
POCL-R: Distributed OpenCL Runtime for Low Latency Remote Offloading
OpenCL Command-buffer Extension: Design and Implementation
Towards a SYCL API for Approximate Computing
The Windsor Build and Testing Framework
TensorFlow Acceleration on ARM Hikey Board
Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset
Open Standard Software Stack for Low Latency Offloading from Lightweight Devices to Remote Heterogeneous Platforms
Khronos™ group
Machine Learning for Vectorization Decision in OpenCL/SYCL Kernel
SYCL-BLAS: Leveraging Expression Trees for Linear Algebra
Training Machine Learning Network on Adreno Mobile GPUs Using OpenCL
Taking Memory Management to the Next Level: Unified Shared Memory in Action
OpenCLML Integration with TVM
GPGPU Acceleration using OpenCL for a Spotlight SAR Simulator
Performance Portability of the MG-CFD Mini-App with SYCL
Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures
Optimizing OpenCL applications on Xilinx FPGA
Sylkan: Towards a Vulkan Compute Target Platform for SYCL
Accelerating Machine Learning Inference on GPUs with SYCL
OpenCL Optimization and Best Practices for Qualcomm Adreno GPUs
A look at the OpenCL 2.0 execution model
Towards Heterogeneous and Distributed Computing in C++
Experiences With Adding SYCL Support to GROMACS
Toward a CAD Tool for SYCL programming
Proceedings of the 12th International Workshop on OpenCL and SYCL, IWOCL 2024, Chicago, IL, USA, April 8-11, 2024
IWOCL'22: International Workshop on OpenCL, Bristol, United Kingdom, May 10 - 12, 2022
Evaluation of SYCL's Different Data Parallel Kernels
Can SYCL and OpenCL meet the challenges of functional safety?
IWOCL'21: International Workshop on OpenCL, Munich Germany, April, 2021
GPU Daemon: Road to zero cost submission
A framework for visualization of OpenCL applications execution: a tutorial
C++ for OpenCL 2021
Enabling OpenCL and SYCL for RISC-V processors
Ray Tracer based lidar simulation using SYCL
Early experiments using SYCL single-source modern C++ on Xilinx FPGA: Extended Abstract of Technical Presentation
Untangling Modern Parallel Programming Models
Automated OpenCL GPU kernel fusion for Stan Math
Profiling Heterogeneous Computing Performance with VTune Profiler
A compute model for augmented reality with integrated-GPU acceleration
The C++ for OpenCL Programming Language
Nano Simbox: an OpenCL-accelerated framework for interactive molecular dynamics
Imagination: leveraging OpenCL to create differentiation
Making Banking Secure via Bio Metrics application built using oneAPI and DPC++ based on SYCL/C++
High performance asynchronous host-device communication through the Intel® FPGA host pipe extension for OpenCL™ applications
Accelerating Lagrangian particle dispersion in the atmosphere with OpenCL across multiple platforms
Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame
SYCLomatic: SYCL Adoption for Everyone - Moving from CUDA to SYCL Gets Progressively Easier: Advanced Migration Considerations
Experiences Supporting DPC++ in AMReX
Asynchronous OpenCL/MPI numerical simulations of conservation laws
What's New in SYCL 1.2.1 and How to Explore the Features
SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs
Performance portability study of linear algebra kernels in OpenCL
Heterogeneous Active Messages (HAM): Implementing Lightweight Remote Procedure Calls in C++
Gzip on a chip: high performance lossless data compression on FPGAs using OpenCL
Enabling the Use of C++20 Unseq Execution Policy for OpenCL
Symphony: Task Scheduling and Memory Management in Heterogeneous Computing
Adreno GPU compute: IWOCL 2015
OpenCL™ FFT Optimizations for Intel® Processor Graphics
Toward Performance Portability of Highly Parametrizable TRSM Algorithm Using SYCL
ViennaCL++: Enable TensorFlow/Eigen via ViennaCL with OpenCL C++ Flow
OpenCL caffe: Accelerating and enabling a cross platform machine learning framework
Unified AddressSanitizer Framework for SYCL Kernel on CPU and GPU Device
Parsing CUDA for Transformation to SYCL in an IDE
Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library
Modeling Explicit SIMD Programming With Subgroup Functions
Khronos SYCL for OpenCL: a tutorial
Boost.Compute: A parallel computing library for C++ based on OpenCL
Data Parallel C++: Enhancing SYCL Through Extensions for Productivity and Performance
Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework
SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance
An Introduction to hpxMP: A Modern OpenMP Implementation Leveraging HPX, An Asynchronous Many-Task System
Extending Paralldroid for the Automatic Generation of OpenCL Code
Compiler Techniques for Efficient MATLAB to OpenCL Code Generation
Application of computational GPU OpenCL kernels for near-realtime audio processing
What's New in SYCL for Safety Critical Systems
Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study
KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters
Introducing Parallelism to the Ranges TS
Shaping Open Source Compute ecosystem with Neo and clDNN
hipSYCL in 2021: Peculiarities, unique features and SYCL 2020
Accelerating Typical Image Processing Operations using Qualcomm Adreno OpenCL Extensions
Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide
TAU Performance System
An Overview of OpenCL Vendor Extensions Supported in Qualcomm Adreno GPUs
Celerity: How (Well) Does the SYCL API Translate to Distributed Clusters?
An Efficient Approach to Resolving Stack Overflow of SYCL Kernel on Intel® CPUs
Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs
FAST: A framework for high-performance medical image computing and visualization
OpenCL-Based Mobile GPGPU Benchmarking: Methods and Challenges
Optimization of Fast Fourier Transform for Qualcomm Adreno Graphics Processing Unit
Interfacing SYCL and Python for XPU Programming
Improved address space inference for SYCL programs
clARMOR: A Dynamic Buffer Overflow Detector for OpenCL Kernels
Exploring Integer Sum Reduction using Atomics on Intel CPU
The rise of open programming frameworks
Implementation Techniques for SPMD Kernels on CPUs
Host Pipes: Direct Streaming Interface Between OpenCL Host and Kernel
Accelerated Machine Learning Using TensorFlow and SYCL on OpenCL Devices
High-performance GPGPU OpenCL simulation of quantum Boltzmann equation
Proceedings of the 2023 International Workshop on OpenCL, IWOCL 2023, Cambridge, United Kingdom, April 18-20, 2023
Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features
Accelerating NNEF Framework on OpenCL Devices Using clDNN
SYCL, DPC++, XPUs, oneAPI
High-performance micromagnetic simulations using OpenCL
Tutorial: Application Development with SYCL
Introduction to TTL, an Open Source Tensor and Tiling Library for OpenCL
On Demand Specialization of SYCL Kernels with Specialization Constant Length Allocations (SCLA)