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Full-Text Articles in Computer Engineering
A Privacy-Aware Distributed Storage And Replication Middleware For Heterogeneous Computing Platform, Jilong Liao
A Privacy-Aware Distributed Storage And Replication Middleware For Heterogeneous Computing Platform, Jilong Liao
Masters Theses
Cloud computing is an emerging research area that has drawn considerable interest in recent years. However, the current infrastructure raises significant concerns about how to protect users' privacy, in part due to that users are storing their data in the cloud vendors' servers. In this paper, we address this challenge by proposing and implementing a novel middleware, called Uno, which separates the storage of physical data and their associated metadata. In our design, users' physical data are stored locally on those devices under a user's full control, while their metadata can be uploaded to the commercial cloud. To ensure the …
A Secure Reconfigurable System-On-Programmable-Chip Computer System, William Herbert Collins
A Secure Reconfigurable System-On-Programmable-Chip Computer System, William Herbert Collins
Masters Theses
A System-on-Programmable-Chip (SoPC) architecture is designed to meet two goals: to provide a role-based secure computing environment and to allow for user reconfiguration. To accomplish this, a secure root of trust is derived from a fixed architectural subsystem, known as the Security Controller. It additionally provides a dynamically configurable single point of access between applications developed by users and the objects those applications use. The platform provides a model for secrecy such that physical recovery of any one component in isolation does not compromise the system. Dual-factor authentication is used to verify users. A model is also provided for tamper …
Programming Dense Linear Algebra Kernels On Vectorized Architectures, Jonathan Lawrence Peyton
Programming Dense Linear Algebra Kernels On Vectorized Architectures, Jonathan Lawrence Peyton
Masters Theses
The high performance computing (HPC) community is obsessed over the general matrix-matrix multiply (GEMM) routine. This obsession is not without reason. Most, if not all, Level 3 Basic Linear Algebra Subroutines (BLAS) can be written in terms of GEMM, and many of the higher level linear algebra solvers' (i.e., LU, Cholesky) performance depend on GEMM's performance. Getting high performance on GEMM is highly architecture dependent, and so for each new architecture that comes out, GEMM has to be programmed and tested to achieve maximal performance. Also, with emergent computer architectures featuring more vector-based and multi to many-core processors, GEMM performance …