Verified tensor-program optimization via high-level scheduling rewrites

We present a lightweight Coq framework for optimizing tensor kernels written in a pure, functional array language. Optimizations rely on user scheduling using series of verified, semantics-preserving rewrites. Unusually for compilation targeting imperative code with arrays and nested loops, all rewrites are source-to-source within a purely functional language. Our language comprises a set of core constructs for expressing high-level computation detail and a set of what we call reshape operators, which can be derived from core constructs but trigger low-level decisions about storage patterns and ordering. We demonstrate that not only is this system capable of deriving the optimizations of existing state-of-the-art languages like Halide and generating comparably performant code, it is also able to schedule a family of useful program transformations beyond what is reachable in Halide.

Pelatihan Pemanfaatan Teknologi Google Drive dan Blogs bagi Pengawas Sekolah Dasar

In the world of education, we must quickly obtain information and be fast in sending the requested information. Indonesia is one of the developing countries that is trying to take advantage of this digitization system. With the digitization system, it is hoped that it will make it easier to send and convey information to relevant agencies in need. This activity is carried out with the aim of providing training and technical implementation so that school supervisors can take advantage of supporting media and provide useful new knowledge. The method used in this community service is the seminar method. The results obtained after this activity were that the participants were able to apply google drive and create blogs independently, in turn, and under supervision. The conclusion of the research results is that school supervisors get new knowledge, are able to operate and create google drives and blogs, understand that adding data storage patterns and data management can be done easily and efficiently.

GASOL: Gas Analysis and Optimization for Ethereum Smart Contracts

We present the main concepts, components, and usage of Gasol, a Gas AnalysiS and Optimization tooL for Ethereum smart contracts. Gasol offers a wide variety of cost models that allow inferring the gas consumption associated to selected types of EVM instructions and/or inferring the number of times that such types of bytecode instructions are executed. Among others, we have cost models to measure only storage opcodes, to measure a selected family of gas-consumption opcodes following the Ethereum’s classification, to estimate the cost of a selected program line, etc. After choosing the desired cost model and the function of interest, Gasol returns to the user an upper bound of the cost for this function. As the gas consumption is often dominated by the instructions that access the storage, Gasol uses the gas analysis to detect under-optimized storage patterns, and includes an (optional) automatic optimization of the selected function. Our tool can be used within an Eclipse plugin for which displays the gas and instructions bounds and, when applicable, the gas-optimized function.

Perencanaan Tata Letak Gudang Menggunakan Metode Class-Based Storage-Craft Pada Distributor Computer & Office Equipment

- Increased competitiveness can be done through warehouse management, especially finished goods inventory. The condition of storage patterns and preparation of items that are randomly and irregularly will result in the accumulation of goods or the mixing of items in one slot rack. So, this condition will result in a longer search time. This study discusses the planning of warehouse layout and preparation of goods using the Class Based Storage method by optimizing the CRAFT (Computerized Relative Allocation of Fasilities Technique) algorithm for manufacturing facilities or services that focus on the process. The study was conducted by examining 9 product items with the aim of knowing the layout of goods in warehouses, to meet the needs of searching goods accurately by looking for the causes of irregular placement and item preparation, then making the layout of goods in finished goods warehouses. So that it has an additional allocation of storage area allowance of 28.6%. Keywords— Layout, Class Based Storage, CRAFT Abstrak - Peningkatan daya saing dapat dilakukan melalui pengelolaan gudang, khususnya finished goods inventory. Kondisi pola penyimpanan dan penyusunan barang yang dilakukan secara acak dan kurang teratur akan mengakibatkan terjadinya penumpukkan barang ataupun tercampurnya barang-barang di dalam satu slot rack. Sehingga, kondisi tersebut akan mengakibatkan waktu pencarian yang lebih lama. Kajian ini membahas mengenai perencanaan tata letak gudang dan penyusunan barang menggunakan metode Class Based Storage dengan mengoptimasi algoritma CRAFT (Computerized Relative Allocation of Fasilities Technique) untuk fasilitas manufaktur atau layanan yang berfokus pada proses. Penelitian dilakukan dengan meneliti 9 item produk dengan tujuan mengetahui tata letak barang digudang, untuk memenuhi kebutuhan pencarian barang secara akurat dengan mencari penyebab penempatan dan penyusunan barang yang tidak teratur, kemudian membuat tata letak barang di gudang finished goods. Sehingga mempunyai penambahan alokasi allowance area penyimpanan sejumlah 28.6%. Kata kunci— Tata Letak, Class Based Storage, CRAFT