Updated paper links and added Google Analytics

Author: stephenchouca

Gemfile

@@ -1,2 +1,9 @@
-gem "bulma-clean-theme"
 gem "webrick", "~> 1.7"
+group :jekyll_plugins do
+  gem "jekyll-remote-theme"
+  gem "jekyll-feed", "~> 0.6"
+  gem "jekyll-sitemap"
+  gem "jekyll-paginate"
+  gem "jekyll-seo-tag"
+  gem 'jekyll-redirect-from'
+end

Gemfile.lock

@@ -2,13 +2,6 @@ GEM
   specs:
     addressable (2.8.0)
       public_suffix (>= 2.0.2, < 5.0)
-    bulma-clean-theme (0.13.1)
-      jekyll (>= 3.9, < 5.0)
-      jekyll-feed (~> 0.15)
-      jekyll-paginate (~> 1.1)
-      jekyll-seo-tag (~> 2.7)
-      jekyll-sitemap (~> 1.4)
-      kramdown-parser-gfm (~> 1.1)
     colorator (1.1.0)
     concurrent-ruby (1.1.10)
     em-websocket (0.5.3)
@@ -38,6 +31,13 @@ GEM
     jekyll-feed (0.15.1)
       jekyll (>= 3.7, < 5.0)
     jekyll-paginate (1.1.0)
+    jekyll-redirect-from (0.16.0)
+      jekyll (>= 3.3, < 5.0)
+    jekyll-remote-theme (0.4.3)
+      addressable (~> 2.0)
+      jekyll (>= 3.5, < 5.0)
+      jekyll-sass-converter (>= 1.0, <= 3.0.0, != 2.0.0)
+      rubyzip (>= 1.3.0, < 3.0)
     jekyll-sass-converter (2.2.0)
       sassc (> 2.0.1, < 3.0)
     jekyll-seo-tag (2.8.0)
@@ -63,6 +63,7 @@ GEM
       ffi (~> 1.0)
     rexml (3.2.5)
     rouge (3.28.0)
+    rubyzip (2.3.2)
     safe_yaml (1.0.5)
     sassc (2.4.0)
       ffi (~> 1.9)
@@ -75,7 +76,12 @@ PLATFORMS
   x86_64-darwin-21
 
 DEPENDENCIES
-  bulma-clean-theme
+  jekyll-feed (~> 0.6)
+  jekyll-paginate
+  jekyll-redirect-from
+  jekyll-remote-theme
+  jekyll-seo-tag
+  jekyll-sitemap
   webrick (~> 1.7)
 
 BUNDLED WITH

_config.yml

@@ -1,5 +1,3 @@
-#theme: bulma-clean-theme
 remote_theme: chrisrhymes/bulma-clean-theme
 title: "TACO: The Tensor Algebra Compiler"
-#tagline:  A fast and versatile library for linear and tensor algebra
-#description:  A fast and versatile library for linear and tensor algebra
+google_analytics: UA-93058524-1

_data/publications.yml

@@ -4,7 +4,7 @@
     authors: Peter Ahrens, Fredrik Kjolstad, and Saman Amarasinghe
     venue: PLDI 2022
     is_thesis: false
-    paper_link: https://arxiv.org/pdf/2111.14947.pdf
+    paper_link: files/ahrens-pldi22-taco-autoscheduling.pdf
     abstract: >
       While loop reordering and fusion can make big impacts on the constant-factor performance of dense tensor programs, the effects on sparse tensor programs are asymptotic, often leading to orders of magnitude performance differences in practice. Sparse tensors also introduce a choice of compressed storage formats that can have asymptotic effects. Research into sparse tensor compilers has led to simplified languages that express these tradeoffs, but the user is expected to provide a schedule that makes the decisions. This is challenging because schedulers must anticipate the interaction between sparse formats, loop structure, potential sparsity patterns, and the compiler itself. Automating this decision making process stands to finally make sparse tensor compilers accessible to end users.
       <br><br>
@@ -30,7 +30,7 @@
     authors: Rohan Yadav, Alex Aiken, and Fredrik Kjolstad
     venue: PLDI 2022
     is_thesis: false
-    paper_link: https://arxiv.org/pdf/2203.08069.pdf
+    paper_link: files/yadav-pldi22-distal.pdf
     abstract: >
       We introduce DISTAL, a compiler for dense tensor algebra that targets modern distributed and heterogeneous systems. DISTAL lets users independently describe how tensors and computation map onto target machines through separate format and scheduling languages. The combination of choices for data and computation distribution creates a large design space that includes many algorithms from both the past (e.g., Cannon’s algorithm) and the present (e.g., COSMA). DISTAL compiles a tensor algebra domain specific language to a distributed task-based runtime system and supports nodes with multi-core CPUs and multiple GPUs. Code generated by is competitive with optimized codes for matrix multiply on 256 nodes of the Lassen supercomputer and outperforms existing systems by between 1.8x to 3.7x (with a 45.7x outlier) on higher order tensor operations.
     bibtex: >