Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Adaptive heterogeneous scheduling for integrated GPUs
Dynamic Task Parallelism with a GPU Work-Stealing Runtime System
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
Adaptive Parallelism and Piranha
Parallel On-Demand Hierarchy Construction on Contemporary GPUs
A domain-specific approach to heterogeneous parallelism
rCUDA: Reducing the number of GPU-based accelerators in high performance clusters
ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers
performance analysis and tuning for general purpose graphics processing units ( gpgpu ) .
NVIDIA cuda software and gpu parallel computing architecture
A complete and efficient CUDA-sharing solution for HPC clusters
Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales
Scalable System Scheduling for HPC and Big Data
Adaptive structured parallelism for computational grids
Redefining the Role of the CPU in the Era of CPU-GPU Integration
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps
CTA-aware Prefetching for GPGPU
Collocating CPU-only Jobs with GPU-assisted Jobs on GPU-assisted HPC
Dynamic Critical-Path Scheduling: An Effective Technique for Allocating Task Graphs to Multiprocessors
CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs
Self-Tuning Job Scheduling Strategies for the Resource Management of HPC Systems and Computational Grids
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
Aneurysmal Subarachnoid Hemorrhage and Neuroinflammation: A Comprehensive Review
Review of sensors for greenhouse climate monitoring
Automatic CPU-GPU communication management and optimization
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics