the proceedings contain 109 papers. the topics discussed include: balanced coloring for parallel computing applications;high-performance graph analytics on manycore processors;scalable community detection withthe Lou...
ISBN:
(纸本)9781479986484
the proceedings contain 109 papers. the topics discussed include: balanced coloring for parallel computing applications;high-performance graph analytics on manycore processors;scalable community detection withthe Louvain algorithm;cooperative computing for autonomous data centers;divide and conquer symmetric tridiagonal eigensolver for multicore architectures;contention-based nonminimal adaptive routing in high-radix networks;identifying the culprits behind network congestion;embedding nonblocking multicast virtual networks in fat-tree data centers;cashmere: heterogeneous many-core computing;a scheduling and runtime framework for a cluster of heterogeneous machines with multiple accelerators;hierarchical DAG scheduling for hybrid distributed systems;pushing the performance envelope of modular exponentiation across multiple generations of GPUs;and addressing fairness in SMT multicores with a progress-aware scheduler.
this paper proposes an approach for receiving small uplink data transmissions from a massive amount of machine type communication (MTC) devices in ultra-dense networks (UDNs). In particular, we propose using a beamfor...
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ISBN:
(纸本)9781467389990
this paper proposes an approach for receiving small uplink data transmissions from a massive amount of machine type communication (MTC) devices in ultra-dense networks (UDNs). In particular, we propose using a beamforming based solution for distributing (broadcasting) uplink grants for small data transmissions. Receive beamforming is also employed in order to receive the subsequent uplink small data transmissions. the proposed approach is particularly useful in reaching high transmission success probability of MTC uplink traffic with low consumption of physical resources. Extensive numerical results are provided based on detailed system level simulations in an ultra-dense 5G context. Results show that low collision and decoding failure probabilities can be achieved by employing beamforming and orthogonal codes for connectionless uplink grant distribution. Additionally, it is shown that uplink transmissions can be received efficiently by utilizing receive filters designed to maximize the received power towards the directions where grants were broadcasted. the performance of the proposed scheme is analyzed with a typical uniformly distributed massive MTC (mMTC) traffic as well as with a peak access profile as an extreme case.
the proceedings contain 24 papers. the topics discussed include: improving backpressure-based adaptive routing via incremental expansion of routing choices;using indirect routing to recover from network traffic schedu...
ISBN:
(纸本)9781509063864
the proceedings contain 24 papers. the topics discussed include: improving backpressure-based adaptive routing via incremental expansion of routing choices;using indirect routing to recover from network traffic scheduling estimation error;ZeroSDN: a highly flexible and modular architecture for full-range network control distribution;BPFabric: data plane programmability for software defined networks;enhancing scalable name-based forwarding;controlling strategy retransmissions in named data networking;on incremental deployment of named data networking in local area networks;OpenSched: programmable packet queuing and scheduling for centralized QoS control;rule compilation in multi-tenant networks;virtual network embedding in hybrid data building fast but flexible software routers;CODIS: a new compression scheme for bitmap indexes;P5: programmable parsers with packet-level parallelprocessing for FPGA-based switches;an attack-resilient source authentication protocol in controller area network;detecting remote access Trojans through external control at area network borders;RwHash: rewritable hash table for fast network processing with dynamic membership updates;and SLIM: enabling transparent extensibility and dynamic configuration via session-layer abstractions.
Particle filters estimate the state of dynamic systems through Bayesian interference and stochastic sampling techniques. parallel/distributed particle filters aim to improve the performance by deploying all particles ...
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In recent years, most Web 2.0/3.0 applications have been built on top of distributed systems which allow data to be modeled as distributed Ordered Tables (DOTs) such as Apache HBase. To analyze the stored data, SQL-li...
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the proceedings contain 143 papers. the topics discussed include: bridging the gap between performance and bounds of Cholesky factorization on heterogeneous platforms;efficient message logging to support process repli...
ISBN:
(纸本)0769555101
the proceedings contain 143 papers. the topics discussed include: bridging the gap between performance and bounds of Cholesky factorization on heterogeneous platforms;efficient message logging to support process replicas in a volunteer computing environment;early multi-node performance evaluation of a knights corner (KNC) Based NASA supercomputer;mini-NOVA: a lightweight ARM-based virtualization microkernel supporting dynamic partial reconfiguration;real-time multiprocessor architecture for sharing stream processing accelerators;relocation-aware floorplanning for partially-reconfigurable FPGA-based systems;experiences with compiler support for processors with exposed pipelines;performance modeling of matrix multiplication on 3d memory integrated FPGA;enhancing speedups for FPGA accelerated SPICE through frequency scaling and precision reduction;and an automated high-level design framework for partially reconfigurable FPGAs.
Latent Dirichlet Allocation (LDA) is a widely used machine learning technique in topic modeling and data analysis. Training large LDA models on big datasets involves dynamic and irregular computation patterns and is a...
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