Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: ML-Gov: a machine learning enhanced integrated CPU-GPU DVFS governor for mobile gaming
Co-Cap: energy-efficient cooperative CPU-GPU frequency capping for mobile games
Gdev: first-class GPU resource management in the operating system
Automatic CPU-GPU communication management and optimization
Compiler-Directed Dynamic Voltage and Frequency Scaling for CPU Power and Energy Reduction
An integrated GPU power and performance model
MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency
An adaptive performance modeling tool for GPU architectures
A performance analysis framework for exploiting GPU microarchitectural capability
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Demystifying GPU microarchitecture through microbenchmarking
Fine-grained DVFS using on-chip regulators
A quantitative performance analysis model for GPU architectures
Automatic Performance Setting for Dynamic Voltage Scaling
Enabling preemptive multiprogramming on GPUs
An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management
XPPE: cross-platform performance estimation of hardware accelerators using machine learning
Coordinated static and dynamic cache bypassing for GPUs
Model predictive control of coordinated multi-vehicle formations
AutoMashUpper: An Automatic Multi-Song Mashup System
Pedestrian detection with a Large-Field-Of-View deep network
Solving the multiple-instance problem with axis-parallel rectangles
Technological Revolutions and Techno-Economic Paradigms