- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Architecture of Computing Systems – ARCS 2019 : 32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings
- Erschienen in
-
Lecture Notes in Computer Science ; 11479
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2019
- Urheber
-
Lucas, Jan
Juurlink, Ben
- DOI
-
10.14279/depositonce-9330
- Handle
-
11303/10370
- URN
-
urn:nbn:de:101:1-2019112701151291755375
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lucas, Jan
- Juurlink, Ben
- Technische Universität Berlin
Entstanden
- 2019
Ähnliche Objekte (12)
Local memory-aware kernel perforation
A Quantitative Study of Locality in GPU Caches
GPU power modeling and architectural enhancements for GPU energy efficiency
A Quantitative Study of Locality in GPU Caches
ALUPower: Data Dependent Power Consumption in GPUs
Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels
On latency in GPU throughput microarchitectures
E²MC: Entropy Encoding Based Memory Compression for GPUs
Protective redundancy overhead reduction using instruction vulnerability factor
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
Model checking memory-related properties of hardware/software codesigns
Local memory-aware kernel perforation
A Quantitative Study of Locality in GPU Caches
GPU power modeling and architectural enhancements for GPU energy efficiency
A Quantitative Study of Locality in GPU Caches
ALUPower: Data Dependent Power Consumption in GPUs
Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels
On latency in GPU throughput microarchitectures
E²MC: Entropy Encoding Based Memory Compression for GPUs
Protective redundancy overhead reduction using instruction vulnerability factor
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
Model checking memory-related properties of hardware/software codesigns
Local memory-aware kernel perforation
A Quantitative Study of Locality in GPU Caches
GPU power modeling and architectural enhancements for GPU energy efficiency
A Quantitative Study of Locality in GPU Caches
ALUPower: Data Dependent Power Consumption in GPUs
Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels
On latency in GPU throughput microarchitectures
E²MC: Entropy Encoding Based Memory Compression for GPUs
Protective redundancy overhead reduction using instruction vulnerability factor
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs