Kazuaki Ishizaki
25 SlideShares 98 Followers 110 Followings
Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Researcher
Industry
Technology / Software / Internet
Website
ibm.biz/ishizaki
About
My research interestings are optimizing compilers, parallel processing, and processor architectures. I am ACM distinguished member, and committer of Apache Spark and Arrow.
Contact Details
Tags
apache spark compiler gpgpu java spark deep learning simd dataframe htm fpga dataset gpu spark summit 2017 sql ibm ppl spark ai summit 2020 columnar apache arrow endianness optimization ci
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Presentations

(25)
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静的型付き言語用Just-In-Timeコンパイラの再利用による、動的型付き言語用コンパイラの実装と最適化

11 years ago • 3909 Views

Java Just-In-Timeコンパイラ

11 years ago • 5915 Views

20141224 titech lecture_ishizaki_public

10 years ago • 952 Views

20151112 kutech lecture_ishizaki_public

9 years ago • 7310 Views

Exploiting GPUs in Spark

9 years ago • 9420 Views

Easy and High Performance GPU Programming for Java Programmers

9 years ago • 6874 Views

Exploiting GPUs in Spark

9 years ago • 1754 Views

20160906 pplss ishizaki public

8 years ago • 6253 Views

Making Hardware Accelerator Easier to Use

8 years ago • 1354 Views

Transparent GPU Exploitation for Java

8 years ago • 1224 Views

Demystifying DataFrame and Dataset

8 years ago • 890 Views

20171212 titech lecture_ishizaki_public

7 years ago • 963 Views

20180109 titech lecture_ishizaki_public

7 years ago • 1185 Views

Looking back at Spark 2.x and forward to 3.0

6 years ago • 1546 Views

hscj2019_ishizaki_public

6 years ago • 4046 Views

icpe2019_ishizaki_public

6 years ago • 328 Views

In-Memory Evolution in Apache Spark

6 years ago • 1195 Views

SparkTokyo2019

6 years ago • 1237 Views

SparkTokyo2019NovIshizaki

5 years ago • 1534 Views

SQL Performance Improvements At a Glance in Apache Spark 3.0

5 years ago • 909 Views

Introduction new features in Spark 3.0

5 years ago • 1004 Views

Enabling Vectorized Engine in Apache Spark

4 years ago • 1239 Views

Make AI ecosystem more interoperable

4 years ago • 875 Views

20221226_TITECH_lecture_ishizaki_public.pdf

2 years ago • 720 Views

20230105_TITECH_lecture_ishizaki_public.pdf

2 years ago • 460 Views

Likes

(140)
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モデル高速化百選

Yusuke Uchida • 6 years ago

JavaでCPUを使い倒す！ ～Java 9 以降の CPU 最適化を覗いてみる～（NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05）

NTT DATA Technology & Innovation • 5 years ago

Under the Hood of the Testarossa JIT Compiler

Mark Stoodley • 8 years ago

Java Memory Management Tricks

GlobalLogic Ukraine • 9 years ago

分散システムについて語らせてくれ

Kumazaki Hiroki • 7 years ago

TensroFlow XLA : JIT編 (r1.3版)

Mr. Vengineer • 8 years ago

TensorFlow XLAは、 中で何をやっているのか？

Mr. Vengineer • 8 years ago

20170303 java9 hadoop

NTT DATA OSS Professional Services • 8 years ago

Project Panama - Beyond the (JVM) Wall

Christoph Engelbert • 8 years ago

２値化CNN on FPGAでGPUとガチンコバトル（公開版）

Hiroki Nakahara • 8 years ago

機械学習を支えるX86 64の拡張命令セットを読む会 20170212

dcubeio • 8 years ago

Practical Large Scale Experiences with Spark 2.0 Machine Learning: Spark Summit East talk by Berni Schiefer

Spark Summit • 8 years ago

Getting started contributing to Apache Spark

Holden Karau • 8 years ago

NVIDIA Deep Learning Institute 2017 基調講演

NVIDIA Japan • 8 years ago

Parquet Strata/Hadoop World, New York 2013

Julien Le Dem • 11 years ago

IBM Runtimes Performance Observations with Apache Spark

AdamRobertsIBM • 8 years ago

Spark Summit EU talk by Berni Schiefer

Spark Summit • 8 years ago

Anatomy of Spark SQL Catalyst - Part 2

datamantra • 8 years ago

Performance in Spark 2.0, PDX Spark Meetup 8/18/16

pdx_spark • 8 years ago

Accelerating Innovation with Java: The Future is Today

John Duimovich • 8 years ago

What's New in IBM Java 8 SE?

Tim Ellison • 10 years ago

Learning Convolutional Neural Networks for Graphs

Takuya Akiba • 9 years ago

Introduction to Chainer

Seiya Tokui • 9 years ago

Oracle vs Google訴訟の概要

Kiyoshi Kurihara • 9 years ago

Tokyo Webmining Talk1

Kenta Oono • 9 years ago

Top 5 Mistakes to Avoid When Writing Apache Spark Applications

Cloudera, Inc. • 9 years ago

Apache Spark MLlib 2.0 Preview: Data Science and Production

Databricks • 9 years ago

Strata London 2016: The future of column oriented data processing with Arrow and Parquet

Julien Le Dem • 9 years ago

Flink vs. Spark

Slim Baltagi • 9 years ago

いまさら聞けない Amazon EC2

Yasuhiro Matsuo • 11 years ago
Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Researcher
Industry
Technology / Software / Internet
Website
ibm.biz/ishizaki
About
My research interestings are optimizing compilers, parallel processing, and processor architectures. I am ACM distinguished member, and committer of Apache Spark and Arrow.
Tags
apache spark compiler gpgpu java spark deep learning simd dataframe htm fpga dataset gpu spark summit 2017 sql ibm ppl spark ai summit 2020 columnar apache arrow endianness optimization ci
See more