Intrinsics-HMC: An Automatic Trace Generator for Simulations of Processing-In-Memory Instructions

Abstract

Processor-in-Memory (PIM) architectures, such as the Hybrid Memory Cube (HMC), are emerging nowadays as a solution for processing large amount of data directly inside the memory. In this area, several researchers are proposing and evaluating new instructions and new PIM architectures. For such evaluations, trace-driven simulators, as the Simulator of Non-Uniform Cache Architectures (SiNUCA), are commonly used in order to model these new proposed systems. Such simulators provide fast prototyping of new architectures, while it requires the researcher to write simulation traces manually when evaluating new Instruction Set Architecture (ISA) proposals, which is an time consuming and error prone task. In this work, we propose a methodology for fast generation of simulation traces focused on HMC architecture, which consists on a high-level Intrinsics-HMC library and a modification inside the trace-generator tool from SiNUCA. Our proposal enables the researchers to write high level code in C/C++ languages using our library, which mimics the behavior of HMC instructions. These codes can be compiled and executed in traditional x86 architectures for verification. After ensure the code is correct and working, the user can use our modified version of SiNUCA-Tracer to translate HMC functions into HMC instructions know by the simulator, providing a convenient solution to generate traces and fast simulations of new PIM architectures. Results using the proposed technique applied on database application kernels show the correct translation and simulation of new HMC instructions using SiNUCA.

Artisanal fishing activities carried out by fishermen from three riverside communities in the municipality of Abaetetuba, Pará

“…O fruto de açaí, por sua vez, é bastante apreciado pela população abaetetubense, com colheita entre os meses de julho a dezembro, parte de sua produção é destinada para consumo do lar e outra para a comercialização, sendo esta última, realizada principalmente entre os meses de agosto e outubro (Negrão;Maneschy;Barbosa, 2022, p. 76). A alta demanda por açaí nos mercados e lares da região, está relacionada à sua qualidade nutritiva e energética, refletindo-se, dessa forma, em sua valorização econômica (Santana;Carvalho;Mendes, 2006;Yamaguchi et al, 2015).…”