Memory Systems and Interconnects for Scale-Out Servers
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
While DRAM latency has long been recognized as a major bottleneck in servers, DRAM bandwidth is emerging as an important bottleneck as server processors shift to many-core architectures to allow for sustainable throughput improvements. The rapid expansion ...
This paper presents a die-level post-CMOS processing protocol for multi-layer homogeneous 3D integration with adhesive bonding technique using parylene-C as an intermediate bonding layer and sidewall passivation material. This protocol was used to fabricat ...
Nanoscale chiral skyrmions in noncentrosymmetric helimagnets are promising binary state variables in high-density, low-energy nonvolatile memory. Skyrmions are ubiquitous as an ordered, single-domain lattice phase, which makes it difficult to write informa ...
Data center applications like graph analytics require servers with ever larger memory capacities. DRAM scaling, how- ever, is not able to match the increasing demands for ca- pacity. Emerging byte-addressable, non-volatile memory technologies (NVM) offer a ...
The increased number of cores integrated on a chip has brought about a number of challenges. Concerns about the scalability of cache coherence protocols have urged both researchers and practitioners to explore alternative programming models, where cache co ...
Instruction-supplymechanisms, namely the branch predictors and instruction prefetchers, exploit recurring control flow in an application to predict the applicationâs future control flow and provide the core with a useful instruction stream to execute in ...
Data movement between memory and CPU is a well-known energy bottleneck for analytics. Near-Memory Processing (NMP) is a promising approach for eliminating this bottleneck by shifting the bulk of the computation toward memory arrays in emerging stacked DRAM ...
Data movement between memory and CPU is a well-known energy bottleneck for analytics. Near-Memory Processing (NMP) is a promising approach for eliminating this bottleneck by shifting the bulk of the computation toward memory arrays in emerging stacked DRAM ...
The explosive growth in digital data and its growing role in real-time analytics motivate the design of high-performance database management systems (DBMSs). Meanwhile, slowdown in supply voltage scaling has stymied improvements in core performance and ush ...
Systems and methods are described for transmitting data over physical channels to provide a high speed, low latency interface such as between a memory controller and memory devices with significantly reduced or eliminated Simultaneous Switching Output nois ...
