With increasing core-count, the cache demand of modern processors has also increased. However, due to strict area/power budgets and presence of poor data-locality workloads, blindly scaling cache capacity is both infeasible and ineffective. Cache bypassing is a promising technique to increase effective cache capacity without incurring power/area costs of a larger sized cache. However, injudicious use of cache bypassing can lead to bandwidth congestion and increased miss-rate and hence, intelligent techniques are required to harness its full potential. This paper presents a survey of cache bypassing techniques for CPUs, GPUs and CPU-GPU heterogeneous systems, and for caches designed with SRAM, non-volatile memory (NVM) and die-stacked DRAM. ...
As the performance gap between the processor cores and the memory subsystem increases, designers are...
We propose to overcome the memory capacity limitation of GPUs with a Heterogeneous Memory Stack (HMS...
This paper presents novel cache optimizations for massively parallel, throughput-oriented architectu...
With increasing core-count, the cache demand of modern processors has also increased. However, due t...
This document is the supplementary supporting file to the corresponding SC-15 conference paper title...
The massive parallel architecture enables graphics processing units (GPUs) to boost performance for ...
Graphics processing units (GPUs) have become ubiquitous for general purpose applications due to thei...
The massive parallel architecture enables graphics process-ing units (GPUs) to boost performance for...
In the last decade, GPUs have emerged to be widely adopted for general-purpose applications. To capt...
International audienceInitially introduced as special-purpose accelerators for graphics applications...
Abstract—With the SIMT execution model, GPUs can hide memory latency through massive multithreading ...
Integrated Heterogeneous System (IHS) processors pack throughput-oriented General-Purpose Graphics P...
Memory subsystem with larger capacity and deeper hierarchy has been designed to achieve the maximum ...
Current heterogeneous CPU-GPU architectures integrate general purpose CPUs and highly thread-level p...
As a throughput-oriented device, Graphics Processing Unit(GPU) has already integrated with cache, wh...
As the performance gap between the processor cores and the memory subsystem increases, designers are...
We propose to overcome the memory capacity limitation of GPUs with a Heterogeneous Memory Stack (HMS...
This paper presents novel cache optimizations for massively parallel, throughput-oriented architectu...
With increasing core-count, the cache demand of modern processors has also increased. However, due t...
This document is the supplementary supporting file to the corresponding SC-15 conference paper title...
The massive parallel architecture enables graphics processing units (GPUs) to boost performance for ...
Graphics processing units (GPUs) have become ubiquitous for general purpose applications due to thei...
The massive parallel architecture enables graphics process-ing units (GPUs) to boost performance for...
In the last decade, GPUs have emerged to be widely adopted for general-purpose applications. To capt...
International audienceInitially introduced as special-purpose accelerators for graphics applications...
Abstract—With the SIMT execution model, GPUs can hide memory latency through massive multithreading ...
Integrated Heterogeneous System (IHS) processors pack throughput-oriented General-Purpose Graphics P...
Memory subsystem with larger capacity and deeper hierarchy has been designed to achieve the maximum ...
Current heterogeneous CPU-GPU architectures integrate general purpose CPUs and highly thread-level p...
As a throughput-oriented device, Graphics Processing Unit(GPU) has already integrated with cache, wh...
As the performance gap between the processor cores and the memory subsystem increases, designers are...
We propose to overcome the memory capacity limitation of GPUs with a Heterogeneous Memory Stack (HMS...
This paper presents novel cache optimizations for massively parallel, throughput-oriented architectu...