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DNA sequencing is the process of determining the precise order of nucleotides (A, C, G, T) within a DNA molecule and is now indispensable for genetics and medical research. Next-generation sequencing (NGS), in which short DNA fragments can be sequenced in a massively parallel fashion, enables high-throughput sequencing [1]. However, the succeeding data analysis, also known as DNA mapping, is excessively...
This paper proposes an energy-efficient, high-throughput DRAM architecture for GPUs and throughput processors. In these systems, requests from thousands of concurrent threads compete for a limited number of DRAM row buffers. As a result, only a fraction of the data fetched into a row buffer is used, leading to significant energy overheads. Our proposed DRAM architecture exploits the hierarchical organization...
Dense small-cell deployments of 5G networks require a wireless backhaul to efficiently connect the small cells to the macro base station (BS). We envision a wireless backhaul architecture where cells are grouped into clusters. One small cell per cluster plays the role of a cluster head connecting the rest of the small cells to the macro cell via a mmWave MIMO link. We formulate the problem of jointly...
This paper presents the Compute Cache architecturethat enables in-place computation in caches. ComputeCaches uses emerging bit-line SRAM circuit technology to repurpose existing cache elements and transforms them into active very large vector computational units. Also, it significantlyreduces the overheads in moving data between different levelsin the cache hierarchy. Solutions to satisfy new constraints...
Elasticity is a key component of modern cloud environments and monitoring is an essential part of this process. Monitoring demonstrates several challenges including gathering metrics from a variety of layers (infrastructure, platform, application), the need for fast processing of this data to enable efficient elasticity and the proper management of this data in order to facilitate analysis of current...
Current and future applications impose high demands on software-defined radio (SDR) platforms in terms of latency, reliability, and flexibility. This paper presents a heterogeneous SDR MPSoC with a hexagonal network-on-chip to address these issues. It features four data processing modules and a baseband processing engine for iterative multiple-input multiple-output (MIMO) receiving. Integrated memory...
Deep convolutional neural networks (CNNs) are widely adopted in intelligent systems with unprecedented accuracy but at the cost of a substantial amount of data movement. Although recent development in processing-in-memory (PIM) architecture seeks to minimize data movement by computing the data at the dedicated nonvolatile device, how to jointly explore the computation capability of PIM and utilize...
Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) is an integral part of Orthogonal Frequency division multiplexing (OFDM) systems. This forms the physical layer architecture of wireless systems and is designed to consume low power. This paper presents a low power and area efficient architecture for the FFT implementation. FFT involves more complex addition and multiplication...
Fog computing is a promising technology that enables users to perform time-sensitive IoT analytics at locations near the clients. Recent studies have shown the improved delivery performance of fog networks by comparing them with traditional cloud-based architectures. In this paper, we focus on further improving the delivery performance of a fog network. We first show that the performance of fog networks...
A tighter coupling [1] between LTE and Wi-Fi interfaces can be achieved by integrating them at the radio protocol stack. LTE Wi-Fi radio level integration with IPsec tunnel (LWIP) is one such architecture introduced in Rel.13 of 3GPP. We have developed a variant of LWIP prototype and made commercial UE to readily work with the LWIP. The developed LWIP testbed uses OpenAirInterface (OAI) for LTE network...
As a micro engineered biomimetic system to replicate key functions of living organs, organs-on-a-chip (OC) technology provides a high-throughput model for investigating complex cell interactions with a high temporal and spatial resolution in biological studies. Typically, microscopy and highspeed video cameras are used for data acquisition, which are expensive and bulky. Recently, compressed sensing...
As the most important step of a stereo vision system, stereo matching, which finds the correspondences in stereo image pairs, requires high-quality real-time depth computation. In this paper, a high accuracy and high throughput full-pipeline hardware architecture with disparity and row parallelism is proposed. In the semi-global aggregation stage, to improve the accuracy in discontinuous regions,...
This paper presents a modular architecture for dynamically reconfigurable middlebox with a customized reconfiguration handler. The data plane of this middlebox can be updated remotely at run-time by client to support post-deployment feature extension, customization and optimization. The proposed Reconfiguration Handler can achieve at least 3.19 Gbps of reconfiguration throughput, which reduces the...
ERP application performance can be complicated, as it's ought to satisfy the prerequisite and desires of some of the greatest and most refined enterprises inside the world. Odoo is in vogue ERP application comes into picture, Odoo-ORM framework written in python. This paper concentrates on essential component of Odoo-ORM i.e. caching. Caching can be one of the important parts of an ORM application...
LTE-WLAN Aggregation (LWA) at Radio Access Network (RAN) level offers better performance compared to other WLAN inter-working and offloading mechanisms due to its tighter integration. In rel.~13, 3GPP standardized an LWA architecture which works at the Packet Data Convergence Protocol (PDCP) layer of LTE eNodeB and provides packet-level steering. But this architecture provides sub-optimal...
5G Radio Access Networks (RANs) are supposed to increase their capacity by 1000x to handle growing number of connected devices and increasing data rates. The concept of cloud-RAN (CRAN) has been recently proposed to decouple digital units (DUs) and radio units (RUs) of base stations (BSs), and centralize DUs into central offices. CRAN can ease the implementation of advanced radio coordination techniques,...
Software Defined Networking has been adopted to improve data center network efficiency. In SDN, the controllers are responsible for exchanging information with the switches to perform specific operations such as data forwarding. The transmission of control traffic usually uses networks different from data networks. However, building an additional wired network for the control traffic leads to high...
Various state-of-the-art Network-on-Chip (NoC) architectures, employing either low-or high-radix topologies, have exploited the speed provided by on-chip wires — after appropriate wire engineering — to transfer flits over longer distances in a single clock cycle. In this work, motivated by the same principle of fast link traversal, we propose the RapidLink NoC architecture, which exploits said speed...
The k-means clustering is one of the widely used algorithms in Data Mining and Machine Learning domains due to the simplicity, efficiency and scalability involved. The algorithm allocates N data-points or samples to k-clusters employing the minimum distances from respective cluster centroids. Distance calculation is intrinsically a computationally intensive task which is usually accelerated by using...
Despite that network capacity can increase with cell densification, interferences from adjacent cells may deteriorate the throughput of users close to cell edges. To alleviate this problem and to offer a service quality with no significant cell edge degradation, we propose a feasible coordinated multi-point (CoMP) transmission architecture from a new look on antenna allocation in dense small cell...
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