Time-power-energy balance of BLAS kernels in modern FPGAs

Conference proceedings 2022High Performance Computing. 9th Latin American Conference, CARLA 2022, Porto Alegre, Brazil, 26-30 sep 2022, Revised Selected Papers.Numerical Linear Algebra (NLA) is a research field that in the last decades has been characterized by the use of kernel libraries that are de facto standards. One of the most remarkable examples, in particular in the HPC field, is the Basic Linear Algebra Subroutines (BLAS). Most BLAS operations are fundamental in multiple scientific algorithms because they generally constitute the most computationally expensive stage. For this reason, numerous efforts have been made to optimize such operations on various hardware platforms. There is a growing concern in the high-performance computing world about power consumption, making energy efficiency an extremely important quality when evaluating hardware platforms. Due to their greater energy efficiency, Field-Programmable Gate Arrays (FPGAs) are available today as an interesting alternative to other hardware platforms for the acceleration of this type of operation. Our study focuses on the evaluation of FPGAs to address dense NLA operations. Specifically, in this work we explore and evaluate the available options for two of the most representative kernels of BLAS, i.e. GEMV and GEMM. The experimental evaluation is carried out in an Alveo U50 accelerator card from Xilinx and an Intel Xeon Silver multicore CPU. Our findings show that even in kernels where the CPU reaches better runtimes, the FPGA counterpart is more energy efficient.Los investigadores contaron con el apoyo de la Universidad de la República y el PEDECIBA.Se agradece a la ANII – MPG Independent Research Groups : “Efficient Hetergenous Computing” - CSC grou

Coordination Issues in Complex Socio-technical Systems: Self-organisation of Knowledge in MoK

The thesis proposes the Molecules of Knowledge (MoK) model for self-organisation of knowledge in knowledge-intensive socio-technical systems. The main contribution is the conception, definition, design, and implementation of the MoK model. The model is based on a chemical metaphor for self-organising coordination, in which coordination laws are interpreted as artificial chemical reactions ruling evolution of the molecules of knowledge living in the system (the information chunks), indirectly coordinating the users working with them. In turn, users may implicitly affect system behaviour with their interactions, according to the cognitive theory of behavioural implicit communication, integrated in MoK. The theory states that any interaction conveys tacit messages that can be suitably interpreted by the coordination model to better support users' workflows. Design and implementation of the MoK model required two other contributions: conception, design, and tuning of the artificial chemical reactions with custom kinetic rates, playing the role of the coordination laws, and development of an infrastructure supporting situated coordination, both in time, space, and w.r.t. the environment, along with a dedicated coordination language

筑波大学計算科学研究センター 平成25年度 年次報告書

1 平成25 年度重点施策および改善目標の達成状況 ...... 22 自己評価と課題 ...... 83 各研究部門の報告 ...... 10I. 素粒子物理研究部門 ...... 10II. 宇宙・原子核物理研究部門 ...... 32II-1. 宇宙物理理論グループ ...... 32II-2. 原子核分野 ...... 56III. 量子物性研究部門 ...... 69IV. 生命科学研究部門 ...... 83IV-1. 生命機能情報分野 ...... 83IV-2. 分子進化分野 ...... 93V. 地球環境研究部門 ....... 104VI. 高性能計算システム研究部門 ...... 118VII. 計算情報学研究部門 ...... 148VII-1. データ基盤分野 ...... 148VII-2. 計算メディア分野 ...... 16