ASPLOS

The most popular in-memory computing framework --- Spark --- has a number of performance-critical configuration parameters. Manually tuning these parameters for optimized performance is not practical because the parameter tuning space is huge. Searching ...

Distributed processing framework has been widely used in remote-sensing field. Spark, as a popular distributed computing framework, has been utilized to deal with big remote sensing data. However, it is inefficient due to that the application is not ...

Deploying field-programmable gate arrays (FPGAs) on the cloud to accelerate the processing of the explosively growing server workloads is becoming a clear trend today. However, the costs reduction of accelerator design and deployment is still difficult ...

Novel rack-level interconnects are urgently required to support frequent inter-server communications in emerging large-scale distributed in-memory applications. In this paper, we introduce DoCE, a memory semantic fabric via Direct extension of on-chip ...

Recent years have seen the rapidly growing cloud computing market. A massive enterprise applications, like social networking, e-commerce, video streaming, email, web search, mapreduce, spark, are moving to cloud systems. These applications often require ...

Cloud computing is an important infrastructure for many enterprises. After 10 years of development, cloud computing has achieved a great success, and has greatly changed the economy, society, science and industries. In particular, with the rapid ...

Software Defined Networking (SDN) greatly simplifies network management and introduces unprecedented flexibility by decoupling control functions from the network data plane. However, such a decoupling also opens a box of various open questions, which ...

This presentation firstly points out the dilemma of traditional FPGA industry, then points out that the flexible and easy-to-use cloud services is a feasible way to solve the difficulties of FPGA. Tencent's architecture try to solve the puzzle of FPGA ...

Customized Architecture is one of the technical road for exascale high performance computing. We will give an overview about FPGA customized architecture. Research experiences on deep learning algorithms accelerators for data analyzing, footprint and ...

Microsoft has clearly made the case for using FPGAs at scale in the cloud and Intel is committed to leveraging the benefits of hardware acceleration with their acquisition of Altera. However, we still cannot use FPGAs with the same ease we have with ...

Recent adoption of OpenCL programming model by FPGA vendors has realized the function portability of OpenCL workloads on FPGA. However, the poor performance portability prevents its wide adoption. To harness the power of FPGAs using OpenCL programming ...